ChatGPT Alternatives: 3 Neural Networks That Will Replace OpenAI's Popular Chatbot / ITech content

Contents:

• Google's Bard — the main competitor
• Anthropic's Claude — constitutional AI
• GigaChat — Russia's answer from Sber
• Let's summarize

While ChatGPT and OpenAI's GPT-4 language model continue to steadily gain popularity thanks to their impressive capabilities, competitors are not leaving this market unattended. ChatGPT alternatives have been developed by both large tech giants and small startups seeking to offer their own unique solutions in the field of natural language processing. These new developments highlight the growing competition in the field of artificial intelligence and demonstrate the importance of automated communication and information processing in modern technologies.

In this article, we will present three alternative chatbots developed based on unique neural network models. We will examine in detail the functionality and features of each of the presented chatbots, as well as analyze their advantages and disadvantages. In our brief overview, you will find the best developments by specialists from the USA and Russia, demonstrating high results in the field of artificial intelligence and natural language processing.

Google's Bard - the main competitor

On May 11, 2023, Google provided users in 180 countries with access to the Bard chatbot, developed based on the PaLM 2 language model. However, the launch took place only on the second attempt, which highlights the complexity of implementing new technologies. Despite the lack of access for users in Russia, Bard promises to be a significant step in the development of artificial intelligence and communication with machines.

At the first presentation of Bard, a significant factual error occurred in the answer, which led to widespread criticism in the media. Despite this, ChatGPT has also made similar errors on several occasions, but this did not prevent it from gaining popularity. Google soon released an "updated version" of Bard, which, according to the developers, addressed all the identified shortcomings.

Bard is a feature-rich chatbot capable of conducting conversations on a variety of topics and generating code based on text descriptions. Furthermore, Bard supports multimodal queries, allowing it to process images alongside text. This versatility makes Bard an excellent tool for users seeking help with conversations and solving problems related to programming and visual information analysis.

One of Bard's key features is its integration with Google search services. This bot is capable of providing accurate answers to questions about current events and additionally includes links to reliable information sources. Thanks to this functionality, users can easily obtain up-to-date data and verify its accuracy. Integration with Google makes Bard an effective tool for searching and processing information in real time.

Bard and Bing Chat have similar features, as both use GPT-4-based technologies in combination with search engines. ChatGPT offers a similar feature through plugins, but it's currently only available in a limited mode. Unfortunately, Bard has limited language capabilities. Initially, it only supported English, but Japanese and Korean were later added. Google plans to expand its functionality and train its AI to communicate effectively in 40 additional languages, but realizing this promise is currently challenging.

Bard is based on Google's PaLM 2 language model, built on the Transformer architecture. This model provides high efficiency in processing and generating text, allowing Bard to perform a variety of natural language processing tasks.

The initial PaLM network includes 540 billion parameters, which is three times larger than that of GPT-3.5, the model on which the base version of ChatGPT is based. Google has already effectively used PaLM to solve a variety of problems, including robotic control. This scalable model demonstrates outstanding results in the field of natural language processing and machine learning, opening up new possibilities for process automation and optimization.

Learning new topics and relevant materials is always useful. We recommend paying attention to related articles and resources that will help deepen your understanding of the subject. This will allow you to expand your knowledge and gain a more comprehensive understanding of the topic. Be sure to stay updated and up-to-date with new publications to stay informed about the latest trends and research in this field.

Modern neural networks such as ChatGPT, RT-1, and PaLM-E are rapidly evolving and becoming increasingly powerful tools in a variety of fields. These technologies represent important steps towards creating artificial intelligence capable of performing complex tasks and interacting with humans at a new level.

ChatGPT, developed by OpenAI, demonstrates outstanding abilities in text generation and maintaining dialogue. Similarly, Google's RT-1 and Meta's PaLM-E are examples of how neural networks can process information and perform tasks with a high degree of autonomy.

The success of these systems raises concerns about a possible machine uprising, as their development may lead to the creation of intelligence that exceeds human capabilities. It is important to recognize that as the capabilities of artificial intelligence increase, issues of ethics, safety, and oversight of the technology must also be considered.

The expanding use of neural networks in fields such as medicine, transportation, and education opens up new horizons, but requires a responsible approach to their integration into society. It is necessary to consider the potential consequences of their use and strive to create a safe and ethical future with artificial intelligence.

Significantly less is known about PaLM 2 than about its predecessor. Google, following the example of OpenAI, which hid the details of its new GPT-4 model, also does not plan to disclose the characteristics of this neural network. This creates intrigue around the capabilities of PaLM 2 and generates interest among specialists in the field of artificial intelligence and machine learning. Users and researchers expect the new model to offer improved features and performance, although the exact parameters and features remain unknown.

The number of parameters of the PaLM 2 model remains unknown. The developers claim that PaLM 2 has fewer parameters than its predecessor, PaLM, but is more efficient. Improved neural network performance is achieved not by increasing the network size, but by using an optimized architecture, modern training methods, and more diverse datasets.

To test the Bard chatbot, visit its page and click the Sign in or Try Bard button. However, it is worth noting that access to the neural network is limited in Russia and some other countries.

Access to Bard is only accessible from IP addresses in countries included in a specific list. These countries include the United States and the United Kingdom. Please ensure your IP address meets the requirements to access the service.

To continue, you must log in to your Google account. Please note that the system does not support Russian accounts. You can confirm this by the message "Bard isn't currently supported in your country. Stay tuned!"

When registering, please provide a phone number from the country corresponding to your IP address. You can also rent a virtual number through specialized services such as 365SMS or simsms4.org. This will ensure convenience and compliance with verification requirements.

If Google still does not recognize you as a foreigner, you will need to submit a request to change the country of your account. This can be done via the provided link. Please note that the process can take up to 30 days, and the result is not always guaranteed, as Google specialists are cautious about users' attempts to change their location.

Claude by Anthropic - Constitutional AI

In 2021, a group of former OpenAI employees founded the independent startup Anthropic. The company has raised hundreds of millions of dollars in funding, with Google serving as the lead investor. This makes Anthropic a significant player in the artificial intelligence market, competing with giants like OpenAI and Microsoft in the development and deployment of AI bots.

In January 2023, Anthropic announced its chatbot Claude, which is designed to compete with ChatGPT. According to the developers, Claude differs from other models in that it is "less likely to produce toxic responses." This is achieved through a unique learning method known as constitutional AI, which is based on a set of rules that function as a kind of "constitution." This approach improves the user experience while making the chatbot safer and more ethical. Claude aims to set new standards in artificial intelligence by providing users with a more reliable and responsible communication tool.

Anthropic offers two versions of its software: Claude Instant and Claude. The Instant version is fast and affordable, but it can be more error-prone, which reduces its perceived value as a smarter solution. While Claude provides more accurate results, its cost and processing time can be higher. The choice between these versions depends on the user's needs and whether they prioritize speed or accuracy.

Current versions of Claude have limited multimodal capabilities, and the bot can only process textual information. This puts it at a disadvantage compared to its main competitors, which offer a wider range of multimodal features.

The developers claim that Claude can understand texts in English. Official support for other languages ​​has not yet been announced. Nevertheless, we managed to communicate with Claude in Russian, despite the bot initially claiming not to be familiar with the "great and powerful."

Claude isn't limited to simple conversations; it also has programming capabilities. This chatbot can generate code in languages ​​such as HTML, CSS, Python, JavaScript, and SQL. However, when we tried to create code in the outdated Pascal or other less common languages, Claude refused, citing a lack of the necessary knowledge and skills.

According to Anthropic, Claude's training dataset includes data collected before spring 2021. As a result, the bot, like ChatGPT, is unable to provide accurate information about events that have occurred over the past two years. Attempts to get up-to-date information on breaking news from Claude were unsuccessful. This limitation is important to keep in mind when using this tool to obtain information about current events.

At present, the Anthropic bot does not have the ability to access the internet to search for up-to-date information. Furthermore, Claude lacks plugins similar to those offered in ChatGPT, which could expand the program's functionality.

Claude significantly outperforms all its competitors in terms of context window size. Claude 100K is capable of processing up to 100,000 tokens, which is equivalent to approximately 75,000 English words. For comparison, OpenAI's state-of-the-art model, GPT-4-32k, used in ChatGPT, can retain only a third as many words in memory. This makes Claude 100K uniquely suited for processing large amounts of information and complex dialogues.

Thanks to Claude's large context window, the system was able to "read" the text of Fitzgerald's iconic novel, The Great Gatsby, in just 22 seconds. This allowed it to successfully answer questions related to the content of the work. Text processing technology has demonstrated its effectiveness and ability to quickly analyze literary works, opening up new possibilities for studying and interacting with classical literature.

It should be noted that this impressive feature is not available to users of the simplified version of the bot. The Claude Instant bot is limited to processing only 9,000 tokens per request, which is approximately 7,000 words. This is in line with the capabilities of its competitors in the market.

The chatbot uses a closed-loop Anthropic-LM model, about which limited information is available. One version of this model has 52 billion parameters, which is three times smaller than the first version of ChatGPT. This model demonstrates high efficiency in natural language processing and can be used in a variety of applications, including customer support, task automation, and content creation.

According to the data, the simplified version of the Claude Instant bot operates on an even more compact model. The results of a comparative analysis of the performance of Anthropic-LM and other popular neural networks can be found in a study conducted by engineers at Stanford University. This research provides valuable insights into the performance and capabilities of various AI models, demonstrating their effectiveness and applicability across a variety of domains. Anthropic-LM stands out for its unique rule-based learning method, which the company calls a "constitution." This approach was detailed in a preprint published in December 2022. This learning methodology makes Anthropic-LM particularly valuable, enabling it to achieve high results in natural language processing. The system is being developed with a focus on safety and ethics, making it an important step in the development of AI technologies. The "constitution" learning method differs from the RLHF approach in that the ranking of answers is performed by artificial intelligence rather than human experts. Anthropic's research shows that AI can replace experts in 90% of cases. This significantly reduces the number of staff required to train the Claude model, making the process more efficient and cost-effective.

This method not only saves on salaries but also helps avoid the incorporation of stereotypes and biases inherent in the people involved in training the neural network. This significantly improves the quality and objectivity of the system. The developers have also posted some of the training samples and hints on GitHub, allowing other researchers and developers to use them in their projects and improve the algorithms. This approach promotes more efficient training of neural networks and the implementation of innovative solutions in various fields.

Claude, accessible via an API, is actively used in various chatbot services and intelligent applications. For example, Anthropic's solution became the basis for the DuckAssist quick suggestion service in the DuckDuckGo search engine, as well as for the Poe chatbot platform. Integrating Claude into these services improves user interaction, offering more accurate and timely responses. This makes it an important tool in the development of modern artificial intelligence and automation technologies.

The official Anthropic website provides two ways to access the Claude chatbot: through the web version and the Slack messenger. To use the service, visit the product website, select the appropriate button, and submit a connection request. However, access to the service is limited and is available only to residents of countries where it is open, and Russia is not on this list.

There is an alternative way to interact with Claude from Russia. To do this, simply register on the Poe chatbot platform, which provides access to various language models, including those developed by Anthropic. Registering on Poe opens up new opportunities for communication and the use of powerful artificial intelligence tools.

To use the Claude neural network in Russia, you need to complete several steps. First, make sure you have internet access and a device that supports the necessary applications. Then, go to the official website or platform where the Claude neural network is available. Register, if required, and create an account. Then, review the terms of use and configure your preferences. Now you are ready to start interacting with the neural network, using its capabilities to solve various problems.

• Go to the official website of the Poe platform.
• Select Use email.

• Enter your email address in the window that appears (the "box" on the Russian server worked without problems).

• Check your email and find the email from the service (if there is nothing, look in the Spam folder). The email will contain a numeric verification code.
• Enter the code in the appropriate field on the Poe platform.

The platform offers three versions of the Claude bot. The free Instant version provides unlimited access to queries, making it user-friendly. However, the more advanced Claude version has a limit on the number of queries. The version with a context window for 100,000 tokens is available only by subscription and requires mandatory payment.

In addition to the Poe platform, Claude can also be accessed through other chatbot services, such as Forefront. These platforms provide users with the ability to interact with Claude, expanding access to modern artificial intelligence tools.

GigaChat - Sber's Russian Answer

On April 24, 2023, Sber unveiled the universal chatbot GigaChat, the first Russian development to offer users a wide range of text-processing functions comparable to ChatGPT. A unique feature of GigaChat is the ability to generate images based on text requests, which distinguishes it from its foreign counterparts. The developers claim that GigaChat is especially effective in solving both professional and creative tasks. This innovative product is the result of collaboration between scientists from Sber AI, SberDevices, and the AIRI Artificial Intelligence Institute. GigaChat is currently in beta testing, allowing users to explore its capabilities and make suggestions for improvement. The domestic GigaChat service works optimally with Russian, while also offering English support. GigaChat performs similar text processing and programming tasks to ChatGPT. However, the developers note that its performance and quality are currently inferior to its foreign counterpart. In side-by-side comparison tests conducted by experts, the American model was favored with a score of 30:70. However, in a competition with the well-known open-source neural network LLaMA 13B, GigaChat emerged victorious with a score of 58:42.

Generating images in chat, where dialogue with artificial intelligence takes place, represents a significant advantage for GigaChat over its competitors. The neural network architecture used in this domestic bot suggests that its multimodal capabilities will be expanded in the future. This means that GigaChat will be able to not only process text messages but also receive and analyze images, opening up new horizons for user interaction with AI.

The Sber bot offers users detailed instructions in Russian. These instructions explain how to correctly formulate requests to GigaChat and include a list of effective prompts for working with artificial intelligence. This will help users interact with the bot as effectively as possible and receive high-quality answers to their questions.

To provide multimodal capabilities in GigaChat, domestic specialists integrated four neural networks. These networks form an ensemble of models known as NeONKA (Neural Omnimodal Network with Knowledge-Awareness). NeONKA's innovative development approach allows for the efficient processing and analysis of various types of data, significantly expanding GigaChat's functionality and improving user interaction.

NeONKA is composed of high-quality components that ensure the effectiveness and reliability of its products. Each element is carefully selected to achieve optimal results. We guarantee that all ingredients meet strict quality standards, confirming NeONKA's effectiveness in solving the assigned tasks. The use of advanced technologies in production allows us to create products that meet the needs of the market and users.

• RuGPT-3.5 and FRED-T5 language models.
• RuCLIP neural network, providing text descriptions of images.
• Kandinsky 2.1 image generator.

The total size of the ensemble is 18 billion parameters. At the launch of ChatGPT, this figure was almost ten times higher. However, over time, artificial intelligence experts have come to the conclusion that the size of a model is not always a determining factor in its effectiveness. As a result, experts began to consider neural networks based on a broader range of criteria, not just the number of parameters.

The domestic developers of the FRED-T5 model report that they trained it on a dataset collected in 2020. To ensure that the neural network could take current events into account, a retraining process was conducted on a limited set of recent news and Wikipedia articles. This allows FRED-T5 to more effectively analyze and process modern information, improving its capabilities in various natural language processing tasks.

It can be concluded that GigaChat's knowledge of events from 2021–2023 may be less accurate compared to information about earlier periods. Currently, the bot does not have internet access to search for current information.

Sber specialists plan to make their RuGPT-3.5 text model available to a wider audience, similar to how they previously published RuGPT-3. This discovery will allow GigaChat to become one of the most open and transparent universal chatbots of the new generation available on the global market.

GigaChat provides Russian residents with simple access without the need for a VPN or other complex solutions. After beta testing, the service will be available for free within the unified Studio development environment from Sber, which is accessible at the specified address. To register, users simply enter their email address and create a password or use Sber ID. GigaChat offers convenient features for users and simplifies interaction with services without unnecessary barriers.

This is good news. However, there is also a negative aspect: access to GigaChat is currently limited, and testing is only available to selected users. To become one of them, you need to join the chatbot's official Telegram channel. Sber periodically publishes links for new GigaChat registrations in this channel.

Follow the provided link and register with Sber's Studio service. This is necessary for the "My GigaChat" section to appear in your personal account. By clicking this item, you can start communicating with advanced artificial intelligence developed in Russia.

If the test period is successful, Sber will provide access to GigaChat to all users and begin integrating the chatbot into its products, including the "Salut" virtual assistant. This will expand functionality and improve customer interactions with financial services.

Testers with access to the chatbot will see a message about the service being temporarily unavailable. At this time, the Sber team of programmers is working on fixing errors and updating the model.

As GigaChat's downtime continues to drag on, we contacted Sber's press service for clarification. They confirmed that the domestic chatbot is working properly. After the update, GigaChat will become even more functional and user-friendly; you just need to wait a bit longer. The expected update promises to improve the user experience and expand the chatbot's capabilities, making it even more attractive to users.

Read also:

Yandex has integrated the YaGPT language model into the Shedevroom app. This innovation significantly improves the app's capabilities, allowing users to receive higher quality and more accurate answers to their queries. YaGPT processes text data and generates meaningful responses, making interaction with the application more natural and convenient. Thanks to this integration, Shedevroom becomes a more attractive tool for creating and editing content, as well as for searching for information. Users can take advantage of modern language processing technologies, which improves the efficiency of working with the application.

Let's summarize

Among the alternatives to ChatGPT, Bard is likely to be the most promising due to its extensive integration with popular Google services. However, this service is not available in Russia.

Sberbank's GigaChat is based on domestic open-source models, making it unique among closed foreign analogues. GigaChat outperforms its competitors thanks to its multimodal capabilities and high-quality Russian language support. However, access to the service is limited during the trial period. Currently, in June 2023, GigaChat is unavailable even to beta testers due to ongoing maintenance. Anthropic's development is a powerful tool in the world of artificial intelligence. Thanks to the widespread adoption of chatbots across a variety of services and platforms, accessing Claude from Russia has proven more convenient than GigaChat. One of Claude's key advantages is a record-breaking context window of 100,000 tokens, but this feature is only available in the advanced version. Unlike its competitors, the Anthropic bot is currently only capable of working with text data. Increasing the visibility of your content in search engines is an essential task for successful promotion. To achieve this, it is necessary to optimize your text for SEO to attract a larger target audience. Pay attention to keywords and phrases that are relevant to your topic. Use them naturally throughout the text to ensure it remains readable and informative. Don't forget about headings and subheadings, which can also improve the structure of your content and help users quickly find the information they need. Ensure your content is unique and high-quality to stand out from the competition. Update it regularly to stay relevant and in line with the latest developments in your field. Creating valuable content that answers user queries is the key to successful SEO.

• 7 neural networks for programmers: how to write code faster and better
• Coders vs. machines: can AI replace developers?
• Viktor Nosko: “We are creating a Russian competitor to ChatGPT”