ChatGPT's Russian Competitor: What Will Replace the Popular Neural Network in Russia? / ITech content

Avatar Machine develops innovative projects in artificial intelligence, particularly in the area of ​​transforming neural networks that effectively process natural language (NLP). One of the company's most well-known projects is the psychologist bot "Sabina Ai," which offers users support and assistance in solving psychological issues. We strive to use advanced technologies to create solutions that improve quality of life and psychological well-being.

Avatar Machine CEO Viktor Nosko spoke about a new development—the FractalGPT chatbot. According to him, this solution, unlike similar products on the market, will be highly reliable in generating responses and is equipped with emotion recognition, as well as goal-setting capabilities. FractalGPT promises to become an innovative tool in the field of communication with clients and process automation.

Founder and CEO of Avatar Machine, an expert in the field of generative neural networks of the Transformer architecture and interpretable artificial intelligence. He is a speaker at leading AI conferences, including Conversations, OpenTalks.AI, AGIConf, DataStart, and AiMen. He also developed a psychologist chatbot, "Sabina Ai," which uses modern technologies to provide psychological assistance.

From Startup to Avatar

The idea to found my own company arose from the desire to realize my ideas and create something unique. I spent a long time thinking about how to improve existing solutions and offer clients something new. Analyzing the market, I noticed gaps and untapped opportunities. This inspired me to create a business that not only solves consumer problems but also delivers value. My goal was to combine innovation and quality, providing clients with products and services that meet modern requirements.

My team of like-minded people and I have been engaged in software development and scientific research in the field of artificial intelligence for many years. In 2014, I founded my first company, and just a year later it became a resident of the Southern IT Park in Rostov-on-Don, my hometown. At the pre-seed stage, our startup received funding from a venture investor, which allowed us to focus on creating an innovative product. We strive to develop AI technologies and implement them in various fields, improving quality of life and optimizing business processes.

We studied human behavior and the interactions of large communities, as well as their influence on each other. Online, this manifests itself through comments and blog posts. By describing the community structure as a graph and visualizing it, we can assess the interests of the group. There are effective algorithms for graph analysis, which we have applied to various tasks. This analysis has proven useful for both business and policy research.

Avatar Machine was founded in 2020 after receiving a grant from the Foundation for Assistance to Small Innovative Enterprises (FASIE). We focused on developing neural networks such as Transformer, which has become our main focus. We decided to focus on what truly interests us. We are more researchers than entrepreneurs by nature. While I am perhaps closer to business than others, my work is also related to scientific research.

The study and development of artificial intelligence (AI) in its various forms is becoming increasingly relevant. Chatbots represent an optimal focus for this area. They are in demand in business, play a key role in scientific research, and do not require significant investment in server capacity and infrastructure, unlike computer vision technologies. Investments in chatbots allow companies to effectively automate customer interactions, improve user experience, and enhance service levels, making them an essential tool in modern business.

We decided not to develop simple bots without neural networks, as such solutions are limited in functionality and cannot effectively solve complex problems. Neural networks allow the creation of more intelligent and adaptive bots capable of processing natural language and providing high-quality user interactions. Using neural network technologies opens up new possibilities for automating processes and improving user experience, ultimately leading to more effective business solutions.

Custom-made bots don't meet our expectations because they don't create the feeling of a live conversation. This isn't the result we're striving for. There are already companies offering similar solutions on the market, including major players like Sber and Just AI. We wanted to find our own unique niche that would allow us to stand out and offer users a higher-quality, more natural experience.

Chatbots have become a hot topic in the modern digital world. They allow users to easily interact and maintain context in conversations. Unlike traditional systems where responses are pre-written, modern chatbots use neural networks to generate responses, making communication more natural and dynamic. This technology opens up new opportunities for businesses and users, improving the quality of service and interaction.

Network technologies like OpenAI's GPT-4 represent cutting-edge solutions in the field of natural language processing. These systems use deep learning to generate text, allowing them to create high-quality responses to user queries. GPT-4 is highly accurate and flexible, making it ideal for a variety of applications, including chatbots, content automation, and customer support. Using GPT-4-based networks opens new horizons in artificial intelligence, enabling businesses to improve customer interactions and optimize processes. Integrating such technologies into everyday tasks can significantly improve operational efficiency and service quality.

There are many generative transformer architectures, and it is not necessary to use the models developed by OpenAI. Currently, there are more than 50 different types of such architectures. The Hugging Face platform offers approximately 5,000 versions of models adapted for various tasks. Examples of such models include T5, BERT, BART, LLaMA, and Alpaca. Each of these models has unique features and is designed to solve specific problems in the field of natural language processing.

All models require adaptation to specific business problems and additional training. There are various nuances that need to be considered. For example, the style of models provided "out of the box" often does not meet the requirements of customer chatbots without appropriate modification.

The release of ChatGPT has significantly changed the approach to chatbot development. Thanks to its advanced natural language processing algorithms, ChatGPT enables the creation of more intelligent and responsive bots capable of supporting complex dialogues. Developers can now use its capabilities to improve user interactions, making bots more useful and effective. Advances in technologies like ChatGPT contribute to the creation of more personalized and contextually aware solutions, which in turn improves the overall service quality and increases customer satisfaction.

In the past, solving various business problems required the implementation of multiple models and solutions. However, in 2023, this has changed. New technologies like ChatGPT make it possible to effectively handle multiple tasks simultaneously, significantly simplifying business processes and increasing their efficiency. These innovative solutions help optimize workflows by reducing the time and resources needed to complete tasks.

Reading is an important aspect of personal and professional development. It not only enriches knowledge but also develops critical thinking. In the modern world, access to information has become easier, and everyone can find materials that match their interests. Reading books, articles, and scientific research helps improve skills and broaden your horizons. Don't forget that regular reading improves memory and concentration. Choose literature that inspires you, and share it with others.

ChatGPT is a powerful language model developed by OpenAI, based on the GPT-3.5 architecture. It is designed to process and generate text, allowing users to interact with it in natural language. The neural network is trained on a vast array of data, which gives it the ability to understand context and create meaningful responses.

ChatGPT's key capabilities include text generation, question answering, content creation, training assistance, and even dialogue management. This model can be used in various fields, such as customer service, blog content creation, automation of routine tasks, and even language teaching.

ChatGPT has a wide range of use cases. Companies can implement it in chatbots to improve customer service, authors can use it to generate ideas and write articles, and students can use it for study assistance. ChatGPT is highly adaptable and can accommodate a variety of communication styles and topics, making it a versatile tool for many users. ChatGPT is thus an innovative solution for improving the efficiency of text processing and user interaction, opening new horizons in the field of artificial intelligence and natural language processing. Since 2020, we have been developing chatbots and successfully fulfilling orders for various clients. Our team has the experience and knowledge necessary to create effective and functional solutions tailored to business needs. We develop chatbots for various platforms, which improves customer interaction and automates processes. If you need a high-quality chatbot, we are ready to offer our services. We not only create branded bots for businesses but also work on projects involving controlled content generation. Our program generates news texts, necessarily including certain keywords, which helps improve SEO. Our main focus is the development of unique bots with individual characteristics, capable of communicating with clients in a manner tailored to the specific needs of a company. We create avatar-bots that interact with users in a unique way, providing a memorable and effective communication experience.

The company's name is based on the concept that bots can have their own personality. We strive to create technologies that enable virtual assistants not only to perform tasks but also to interact with users on a deeper, more personal level. This allows us to develop solutions that make communication with bots more natural and intuitive. Our goal is to provide users with a unique experience based on understanding and adaptation to their needs.

Our team initially envisioned creating bots with "personalities" that could imitate both real people and fictional characters. As part of an experiment, we trained a neural network to imitate the style of Vladimir Zhirinovsky, a topic that is currently being actively discussed. However, we began this process long before it became popular. We used rather modest models compared to modern GPTs, and yet our programs demonstrated respectable results even on small networks. We understand that there is a certain correlation between model quality and size, but our developments confirm that effective solutions are also possible on more compact architectures.

Our team consists of experienced professionals with diverse skills and deep domain expertise. We bring together experts in various fields, enabling us to effectively solve problems and achieve high results. Each team member brings a unique perspective, enabling us to create innovative solutions for our clients. We pride ourselves on working in a close-knit and dynamic environment where team spirit and collaboration are valued. Our goal is to ensure quality and efficiency in every project while maintaining a high level of professionalism.

Our team consists of fewer than 10 people and operates remotely. The pandemic has demonstrated the effectiveness of remote work, and we have adapted to this change. We have an office, but our employees are not permanently located there. Our team includes data scientists with scientific experience, as well as senior-level research developers. We strive for innovation and high-quality solutions in data analysis and development.

We regularly analyze numerous preprints on the arxiv.org platform, reviewing up to 300 articles per year. This is in addition to news from specialized sources, such as "Code" by Skillbox Media, which are also an important part of our monitoring. Our work includes fulfilling orders, generating income, and actively participating in scientific research.

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A neural network is a complex computational model inspired by the structure and functioning of the human brain. It consists of many interconnected nodes called neurons that process information. Neural networks are trained on large volumes of data, allowing them to identify patterns and make decisions based on their acquired knowledge.

The neural network process involves several stages. First, data is fed to the model's input, where it passes through layers of neurons. Each neuron applies specific mathematical functions to the input data, passing the results to the next layer. This process continues until an output is obtained. During training, the neural network adjusts its parameters, minimizing errors and improving accuracy.

Neural networks are used in a variety of fields, including image recognition, natural language processing, forecasting, and many others. Their ability to self-learn and adapt makes them a powerful tool for solving complex problems.

Ideal technologies

Creating the perfect chatbot for your business requires careful consideration and several key factors. First and foremost, it's important to define the goals you want to achieve with your chatbot. This could be improving customer service, automating routine tasks, or increasing sales.

The next step is choosing the platform your chatbot will run on. It should be compatible with popular messaging apps and websites to ensure maximum user accessibility.

Chatbot content should be clear and concise. Use simple language and avoid complex terminology to ensure your audience can easily understand the information. It's also important to provide the ability to personalize communication so users feel heard and valued.

Don't forget about the possibility of integrating your chatbot with other systems, such as CRM and task management platforms. This will increase efficiency and improve customer interactions.

Regularly updating and optimizing your chatbot also plays a significant role. Monitor user feedback and analyze their interactions with the bot to identify areas for improvement.

Ultimately, the ideal chatbot for business is a tool that not only responds to user inquiries but also adapts to their needs, while providing a high level of service and interaction.

Customers often require the development of a bot with several key skills. Among them, three main ones stand out.

The first aspect is the ability to conduct a dialogue similar to human communication. It is important that the conversation covers a variety of topics.

The second important feature of the bot is the creation of personality emulation. This means that the bot does not simply state its name, but also demonstrates certain characteristics that make it more human and attractive for interaction. It should be noted that this feature is not available in the standard version of GPT. Emulating personality helps users establish a deeper connection with the bot and makes communication more natural.

The third aspect is filtering toxic content. The neural network must effectively identify and remove negative topics and statements, such as threats, profanity, insults, and other forms of aggression. This is necessary to create a safe and comfortable online space.

The Transformer is the most common architecture for creating chatbots, but it is not the only one. There are other architectures that can be used to develop similar systems. For example, recurrent neural networks (RNNs) and their modifications, such as LSTM and GRU, can also effectively process sequential data. However, the Transformer offers a number of advantages, including the ability to process large volumes of data and parallelize training, making it particularly popular in modern applications. It is important to keep in mind that the choice of architecture depends on the specific tasks and requirements of the project.

When analyzing the price-performance ratio for business, it can be argued that this is one of the most optimal choices. It's important to note that this isn't a specific model, but a whole series of transformers offering a variety of features and capabilities. This range allows you to choose the most suitable solution based on your needs and budget.

The architecture, introduced in 2017, has evolved significantly since then. Our development team closely monitors the latest trends and innovations in this field and analyzes the effectiveness of various hypotheses. We strive to use the most modern approaches to create high-quality solutions.

More recently, engineers have begun updating older mechanisms, aiming to integrate them into modern solutions. In 2022, the ConvNeXt convolutional architecture and the RWKV-LM recurrent model, which operate at the transformer level, were introduced. However, at this time, there is no information about these technologies being implemented in business processes. I wonder how these innovations can impact companies' operational efficiency and what opportunities they will open up for optimizing various processes.

Your presentation mentioned fast expert tuning technology, which accelerates transformer training by more than 50 times. Could you elaborate on how this technology works and its advantages in machine learning?

This technology was developed by our senior artificial intelligence researcher, Zakhar Ponimash. We created an adapter that allows for further training of a neural network to perform specific tasks in just 2-3 minutes. The adapter adds new layers to the transformer, allowing for efficient modification of its architecture. This approach significantly accelerates the adaptation of neural networks to specific tasks, making it highly sought after in the field of artificial intelligence.

We demonstrated how the technology functions based on Sber's GPT model. The network was able to quickly train on a small dataset, generating thematically relevant text. Moreover, the fast experts tuning method demonstrated significantly greater efficiency compared to similar methods, which provide only a 2-4x performance boost. This technology opens up new possibilities for automating content production and improving text quality, making it an important tool for business and marketing.

This technology should not be confused with traditional fine-tuning. Our fast experts tuning is not a replacement for it, but performs an entirely different task. This technology allows for regular model updates in response to changing requirements, significantly simplifying the process. Furthermore, updating does not require significant computing resources, such as powerful GPUs, resulting in significant cost savings. Using fast experts tuning ensures the flexibility and adaptability of models, which is especially important in a rapidly changing market.

Imagine that you have already developed a neural network capable of conducting discussions about computer games. It functions well, but then a new version of the popular game Atomic Heart is released, and you need to update its capabilities to discuss this release. It is important to ensure that the neural network can comment on the new version without wasting significant resources on retraining. For this purpose, we can use retraining methods that allow us to integrate relevant information and trends without completely redesigning the model. This will maintain the neural network's efficiency and quickly adapt it to changes in the gaming industry.

We refine the topic, which increases the chances of Atomic Heart being mentioned in the chatbot's generated text. At the same time, the system retains its knowledge of the language and can continue discussing other games it has previously learned about.

Virtual Psychologist "Sabina"

Avatar Machine has developed the psychologist chatbot "Sabina Ai." What were the reasons for choosing this topic?

We wanted Avatar Machine to not only fulfill orders, but also create its own products. This is a natural stage of evolution for any business. Developing independent solutions will allow us to expand our product range and strengthen our market position.

We spent a long time thinking about creating a bot that would combine all our developments and meet market demands. We had many ideas, but a bot-psychologist turned out to be the perfect option. Or, as I would call it, a bot-friend. This project meets users' needs and allows them to receive support during difficult times, while maintaining accessibility and convenience.

The general tension of 2022 inspired us to create the Sabina project. Our goal is to provide people with a tool that will help reduce stress and anxiety. In conditions of isolation and lack of communication, many experience psychological difficulties but are embarrassed or afraid to talk about them, even with loved ones. Communicating with our bot can be an important step towards emotional relief and support.

I long doubted the effectiveness of Sabina, but when professional psychologists confirmed that it really does help, it was a real achievement for me. At that moment, we realized we were ready to bring the bot to market.

The bot was named after Sabina Spielrein, the character played by Keira Knightley in the film "A Dangerous Method." This choice symbolized the importance of female figures in psychology and their influence on the development of psychoanalysis. Sabina Spielrein was not only a patient but also the first female psychoanalyst, making her a figure deserving of attention and recognition. The film highlights her significance in the history of psychology, and this inspired the choice of her name for the bot.

Sabina Nikolaevna was a psychoanalyst and a student of such great masters as Freud and Jung. She lived in Rostov-on-Don, where she tragically died during World War II. We sought to choose a name that would have international recognition to facilitate entry into foreign markets. Sabina Nikolaevna's name is known throughout the world, which will give our project additional value and recognition.

Did you involve psychologists in training the neural network?

We purchased the datasets created Certified psychologists who simulate conversations with patients. Using this data, we further trained the neural network. As a result, the format of psychological conversations was adapted for the chatbot: the model learned to recognize the professional style of communication with the patient. Thus, "Sabina" received something that could be called a "character" or "personality."

We carefully configured the bot based on an understanding of the key topics it should support. We took into account the optimal message length and the nature of the desired answers, whether detailed or brief. We also provided for situations in which the bot should clarify information or ask again. This configuration ensures high-quality interaction and meets user needs.

Can Sabina become a full-fledged replacement for a professional psychologist?

The program does not provide medication recommendations or engage in psychotherapy. It does not possess many human skills.

Real psychologists use methods in which they ask questions without offering ready-made solutions. This allows the patient to independently reach the right conclusions. However, this approach is not always appropriate for chatbots. Users expect concrete answers from programs, not vagueness. They seek an active dialogue on topics of interest to them, so it is important that the bot provides clear and informative answers.

Our disclaimer clearly states that the use of our product is not recommended for those with serious mental illnesses, such as clinical depression, or organic lesions. In these situations, it is crucial to seek help from a qualified specialist. Take care of your health and do not neglect professional medical care.

Sabina offers a solution for those facing minor difficulties, such as autumn blues or procrastination. Our methods will help you overcome temporary difficulties and regain your vitality. We understand the importance of maintaining an active and positive psycho-emotional state. Contact Sabina and begin your journey to improved well-being and increased productivity.

In defining Sabina as a psychologist, we emphasize the word "worldly." A conversation with the program resembles a casual conversation with a friend in the kitchen. This interaction promotes a shift in worldview and personal development. Using a practical approach and accessible language, Sabina helps people better understand themselves and their emotions, which can lead to significant changes in their lives.

In cognitive behavioral therapy, psychologists focus on changing clients' worldviews and thinking in the context of their problematic situations. This approach helps people reframe their thoughts and beliefs, which facilitates more effective resolution of psychological difficulties. The main goal is to teach clients to see alternative perspectives and find more constructive ways to respond to stressful situations. Thus, cognitive behavioral therapy is a powerful tool for achieving psychological well-being.

User reviews of a product play a significant role in shaping its reputation and influencing purchasing decisions. There are numerous platforms where customers share their impressions. These reviews can range from positive to negative, and each contains valuable information about the product's quality, functionality, and service. Positive reviews highlight benefits such as reliability, ease of use, and high quality, while negative reviews may point to potential shortcomings or issues encountered by users. Analyzing reviews helps potential buyers make informed choices, and helps manufacturers improve their products and services based on feedback. Collecting and monitoring reviews also helps build brand trust and strengthen customer loyalty.

Opinions on the program are divided, ranging from enthusiastic to negative. Many users report positive experiences with it and highly praise its functionality. However, there is another point of view expressing dissatisfaction, where critics argue that the program is ineffective and does not meet user needs.

The difference between true artificial intelligence and applications that operate according to strict algorithms and pre-programmed scripts lies in the level of unpredictability. The main advantage of neural networks is their ability to freely engage in dialogue, which allows them to adapt to various situations. However, this unpredictability can lead to situations that do not meet user expectations, which, in turn, leads to negative reviews. The unpredictability of interaction with AI is a double-edged sword: on the one hand, it creates a unique experience, but on the other, there is a risk of disappointment.

The dialogues in the Sabina program are naturally occurring, as it adapts responses depending on the user's requests. Psychologists I spoke with note that free communication on psychological topics is more beneficial than following a pre-programmed script. However, at the moment we have no scientific research to support this point of view.

How to explain AI?

Recently, the work on an explainable intelligence library called ExplainItAll has been actively discussed in the media. This project aims to create tools that will help users better understand and interpret decisions made by artificial intelligence. ExplainItAll offers a wide range of functions for visualizing and explaining algorithms, making technologies more accessible and transparent to end users. The main goal of the library is to improve trust in artificial intelligence systems and promote their wider application in various fields.

The project received funding through the Foundation for Assistance to Small Innovative Enterprises (FASI) "Code - Artificial Intelligence" competition. I was one of four winners on the team, which confirms the high recognition of our work in the field of artificial intelligence and innovative technologies.

The development belongs to a category of artificial intelligence known as XAI - explainable artificial intelligence. XAI tools are designed to help users understand the internal mechanisms and reasons behind the actions of neural networks and other forms of AI. This improves the transparency of algorithms, increasing trust in results and enabling model analysis and optimization. Understanding how AI works is key to its safe and ethical use in various fields, including medicine, finance, and autonomous systems.

The ExplainItAll library is designed for developers working in the fields of natural language processing (NLP) and natural language understanding (NLU). It enables the creation of explanatory models that help evaluate and analyze the internal factors influencing the responses provided by neural network transformers. Using ExplainItAll allows for a deeper understanding of how models operate and increases their transparency, which is an important aspect in the development and implementation of AI technologies.

In an interview, artificial intelligence expert Roman Dushkin noted that the ability to explain AI decisions and actions is critical in the medical field. Understanding the decision-making algorithms allows doctors and patients to trust the technologies and use them more effectively. Explainable AI can significantly improve the quality of diagnosis and treatment, as well as ensure compliance with ethical standards in medicine.

Medicine is a prime example of the importance of explaining medication prescriptions. Few people would agree to take medications without understanding their actions and purposes. However, ExplainItAll can help beyond the medical field. This library will find application in a variety of critical industries, providing users with the necessary information and maintaining their awareness.

The topic of explainable artificial intelligence (XAI) is actively discussed in the scientific community, especially in the context of the creation of strong artificial intelligence (AGI). Scientists are asking an important question: how will we be able to understand AGI when it significantly surpasses us in intelligence? In this case, we may end up like animals who are unable to understand our intentions because they are at a lower stage of evolution. This raises important questions about the interaction of humans and highly advanced AI, as well as how we can ensure safe and ethical coexistence with such systems.

ExplainItAll offers two key features. First, it provides an assessment of the answer's reliability. When the question-answering system generates an answer, the library is able to assess the confidence level of that answer. This assessment is presented in the form of numerical values, tables, and graphs, which can make it difficult for the user to understand.

In the next stage of work, we will integrate a feature into the library that will provide answers in a user-friendly form. I call this "human-centered explanation." Implementing this task will present certain challenges.

A "human-centered" explanation is a clear and accessible presentation of information that is easily perceived and understood by a wide audience. This approach involves using simple language, avoiding complex terms and technical details that may confuse the reader. The main goal is to convey the essence of an idea or concept in a way that anyone, regardless of educational level or professional training, can grasp it. This may include examples from everyday life, analogies, and visual elements that enhance understanding. This communication style is especially important in educational, marketing, and informational content, where it is important to establish contact with the reader and ensure their engagement.

If the system provides an explanation with thousands of parameters, its practical value will be very limited. Methods of analysis and logical inference are needed that will allow only the most significant parameters to be selected and explained. This will provide a clearer and more accurate understanding of the data, which is key to effective decision-making.

A person does not need a long 500-word explanation. It is important that the information is concise and understandable, otherwise it will be difficult to perceive and apply in practice. The goal of a clear explanation is to condense the information so that it retains its accuracy and verifiability, while remaining concise.

Work on the library is scheduled for completion in the near future. All necessary improvements and updates are expected to be completed within the established deadline. We are making every effort to ensure that the library meets the highest standards and meets the needs of users. Stay tuned for the latest updates and project completion dates.

According to the competition terms, the results will be presented in December 2023. However, I am confident that the library will continue to develop after this date.

The question of whether similar initiatives have existed around the world is relevant. Analyzing historical examples, one can see that many countries have already implemented similar projects. Studying international experience allows us to identify successful practices and mistakes that can be useful for implementing new ideas. Considering similar initiatives in other countries can inspire new approaches and strategies, as well as help adapt concepts to local conditions. Therefore, it is important not only to learn about existing projects but also to carefully analyze their results to achieve maximum effectiveness.

Several libraries, such as Inseq and Captum, partially contribute to the explanation of artificial intelligence. Our goal is to create a solution that is more effective, understandable, and easy to integrate for specific business needs. My previous experience in this field will help me in this process.

In this section, you will find useful information and tips to help you solve your problems. We strive to provide relevant and high-quality materials that will be useful to our readers. Pay attention to articles that can expand your understanding of the topic and offer new ideas. Our goal is to make your experience on the site as comfortable and informative as possible. Stay tuned for updates on new publications that might be of interest to you.

Laurent Hakobyan: Artificial intelligence will simplify the process of obtaining certificates and applying for a passport. Thanks to modern technologies, AI can automate the collection of necessary documents and minimize the time spent on bureaucratic procedures. Now users can obtain all the certificates and apply for a passport without unnecessary effort, using intelligent systems that ensure accuracy and efficiency. This is especially relevant for those who value their time and want to avoid the complexities associated with traditional document processing.

FractalGPT - a future competitor to ChatGPT

I have read the presentation of your FractalGPT project. Are you developing an alternative to ChatGPT and GPT-4?

FractalGPT is currently in development. We are confident that it will surpass existing solutions, offering many useful and unique features that are missing from both ChatGPT and GPT-4. It is important to note that the OpenAI team is also actively working on improving its products, which makes the AI ​​technology market dynamic and competitive. FractalGPT strives to find its niche by providing users with new capabilities and solutions.

The project is supervised by Zakhar Ponimash, who has extensive experience in artificial intelligence. He previously developed the open-source AIFramework library, which is an analogue of the well-known TensorFlow platform. This library provides developers with convenient tools for creating and training machine learning models, making it a valuable resource in the field of AI.

Zakhar has been actively studying and developing FractalGPT for a long time. This direction has significant potential. As FractalGPT grows in popularity, we plan to create a separate company focused on its use and development.

In about six months, we plan to present a prototype of FractalGPT to the public. We are highly confident that the project will be successfully completed to this stage. Our internal resources and technical developments allow us to move forward confidently.

FractalGPT is a hybrid system comprising a language model (LLM), which we have named "Cognitron Cybertronich," and a reasoning module known as Fractal. This language model interacts with the Fractal core, allowing the user to receive verbal responses based on the core's analysis and inference. Thus, FractalGPT combines powerful language processing and intelligent analysis capabilities, providing deeper understanding and appropriate responses to user queries.

This core will be capable of analysis and self-improvement. A GPT-like model will transform the system's internal language into a human-readable format, enabling effective interaction with both users and other modules. This approach will provide a more accurate understanding of requests and improve communication, making interaction with the system more intuitive and productive.

FractalGPT will be fundamentally different from ChatGPT due to its unique approach to data processing and user interaction. Unlike ChatGPT, FractalGPT uses a multi-layered architecture, which allows it to more effectively analyze context and generate more accurate and relevant responses. This system provides a deeper understanding of requests, which improves the quality of interaction. FractalGPT also aims to be more fine-tuned to specific user tasks and preferences, making it a more adaptive and personalized communication tool.

First, we intend to eliminate the problem of "hallucinations". Currently, ChatGPT often generates inaccurate or incorrect data. In FractalGPT, we minimize such errors, ensuring higher accuracy and reliability. OpenAI is also actively working on this problem, and GPT-4 has partially addressed this shortcoming, but it is still not completely resolved.

As a second step, we will introduce goal setting, motivation, and emotional aspects into the program. These features will bring us significantly closer to developing powerful artificial intelligence.

FractalGPT has a unique ability to self-develop. This is an impressive feature, and we will not disclose the implementation details. Currently, no company in the world has achieved similar results or announced plans to create self-learning technology at this level.

In GPT-4, the bot was given the ability to make requests to external sources. This innovation does not solve all existing problems, but it significantly expands functionality and provides more relevant information. The ability to retrieve data from external databases improves the quality of responses and makes interaction with the bot more effective. However, it's important to remember that using external sources requires careful verification of the information's veracity.

This is a truly useful tool, but it can't solve every problem. Moreover, its use can lead to new difficulties. Obtaining relevant data from the internet is only the first step. It's important to properly integrate this data into the response text so that it is perceived harmoniously and does not contradict the overall logic of the presentation.

The system must be able to determine the optimal moments and methods for accessing search engines and information sources. The recently updated version of GPT-4 introduced plugins, which provide a tool for connecting the system to various services for data extraction. This is a significant improvement over previous versions of ChatGPT, opening up new possibilities for improving the quality and relevance of the information provided. Such improvements allow for more efficient use of resources and the receipt of the most relevant data in response to user requests.

You mentioned "emotions." What does that mean? Does this mean the program will be able to experience feelings like joy or sadness?

No. We're talking about the internal mechanism. Emotion, as we understand it, is a compressed reaction to something happening. For example, when you read the news and feel disgust or sadness, this is the result of multiple triggers acting on your sensory system. In such situations, you strive to quickly process this information and form a specific representation of what is happening.

FractalGPT will function on the principle of internal evaluation. If at one stage of the algorithm the program encounters the concept of "disgust", it will not continue along this branch. This optimizes decision-making and avoids undesirable outcomes.

Strong artificial intelligence (AGI) is a system capable of performing any intellectual tasks that a human can. A key aspect of AGI is multimodality—the ability to process and integrate various types of data and information, such as text, images, sound, and video. This allows the system not only to analyze data but also to understand context, draw conclusions, and make decisions based on available information. Multimodality plays a key role in creating more adaptive and general-purpose artificial intelligence that can effectively interact with the surrounding world.

We view strong artificial intelligence not only through the lens of multimodality. This characteristic alone does not make AI an AGI machine. Our vision of the future of AI is largely consistent with the ideas outlined in Max Tegmark's book, Life 3.0: Being Human in the Age of Artificial Intelligence. We believe that the development of artificial intelligence requires a deeper understanding of its potential and implications for humanity.

GPT-4 is not artificial general intelligence (AGI). This model lacks characteristics such as goal setting, motivation, the ability to plan its own actions, and task setting. This opinion is supported by experts in the field of artificial intelligence who study the capabilities and limitations of modern AI systems. Despite advances in natural language processing, GPT-4 does not possess self-awareness or conscious thought, making it a tool rather than a fully-fledged intelligent being.

Strong artificial intelligence will become a reality when it acquires qualities currently unique to humans, in addition to those skills in which AI already surpasses humans.

Strong artificial intelligence, in addition to surpassing humans at chess, must also be aware of the goals and reasons for its actions. This implies deep self-awareness and analytical ability, which distinguishes it from specialized programs that simply follow algorithms.

Yes, it must have strong motivation and a desire to win. Currently, this is not the case.

FractalGPT offers unique opportunities for users seeking to create and interact with AI-powered content. This platform combines advanced natural language processing technologies and powerful algorithms, enabling the generation of text materials that meet high quality standards. FractalGPT not only facilitates the content creation process but also allows it to be tailored to specific goals and audiences, making it an indispensable tool for marketers, authors, and researchers. Users can expect a high degree of creativity and originality, which is especially important in today's digital world, where competition for audience attention is increasing. Use FractalGPT to effectively create content that will attract and retain reader interest.

We are confident that motivation will be implemented into our system. This feature is in development. However, the question arises: will we be able to convey to the public the information that this function has been implemented? This is not only a technical question, but also a philosophical one.

He may not want to escape if he sets such a goal.

Fears associated with artificial intelligence are often exaggerated. At Avatar Machine, we take a similar approach to safety as OpenAI. Our philosophy is to create safe and open AI. We actively engage in safety issues, conducting discussions with experts in the field of ethics and artificial intelligence safety to ensure the reliability and resilience of our technologies.

Currently, the issues of safety and usefulness of artificial intelligence are actively discussed. It is necessary to demonstrate to society that the creation of truly safe and effective AI is possible. Developers should focus on this goal and strive to create technologies that will serve the benefit of humanity. This is the only way to ensure trust in AI and its integration into various areas of life.

Pay attention to the following materials:

• Microsoft: GPT-4 neural network shows the "rudiments of real artificial intelligence"
• Generative networks: ChatGPT, LaMDA, types of training, neurons and everything else complex
• What is Machine Learning and is it worth studying?