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Saturday, June 15, 2024

Examining the Potential and Capabilities of Seven ChatGPT Substitutes in Generative AI

  • A lot of businesses launched AI chatbots in 2023 in an attempt to compete with ChatGPT and carve out a niche for themselves in the $137.6 million AI chatbot market.
  • It is anticipated that the AI chatbot market will reach $179.9 million in 2020, a 30% increase.
  • Aside from ChatGPT, the unchallenged leader in artificial intelligence chatbots, Spiceworks News & Insights examines the most cutting-edge chatbots on the market as we approach 2024.

The public debut of the artificial intelligence (AI) chatbot ChatGPT occurred in 2022, however, the year 2023 is often seen as the start of the AI revolution. Even though AI chatbots have been around for a while, practically everyone was taken aback by ChatGPT’s innovative generative capabilities, which are based on Generative Pre-trained Transformer, or GPT-3.5.

Furthermore, ChatGPT is not the first generative AI technology that 2023 has brought to market. Throughout the year, numerous new AI chatbots surfaced to challenge ChatGPT’s dominance. None have succeeded thus far, even though the rivalry is getting more intense and that OpenAI’s one-year-old toy has seen several power-related failures in recent months.

Demandsage projects that the market for conversational AI-based chatbots will reach $179.9 million in 2023, a gain of more than 30% from its 2023 valuation of $137.6 million. To choose the best conversational AI for your branding, marketing, storytelling, or writing projects, consider the various chatbots that will be on the market in 2024 and learn what makes them different.

What Constitutes an AI Conversational Chatbot?

An AI chatbot’s ability to function properly or poorly depends on how large language models (LLMs) are designed and implemented. It should unavoidably be able to process natural language, perhaps even in many languages.

It ought to be scalable, adaptable, and cross-platform (web, mobile, etc.) compatible. An LLM must be precise, incredibly responsive, provide a smooth feedback system, and integrate for common applications.

For a more engaging user experience, a chatbot should most crucially have advanced intent recognition and context management skills.

Other than ChatGPT, the unchallenged leader in artificial intelligence chatbots, below is a summary of the most sophisticated chatbots on the market right now based on these features.

2023–2024: The Best Conversational AI Chatbots and LLMs

  1. GPT-4 Turbo

Although not a chatbot per definition, OpenAI’s GPT-4 Turbo is perhaps the most sophisticated LLM available today. Trained on more than 1.76 trillion parameters, it boasts an unparalleled 128K context window that enables it to process 300 pages of text at once.

Information as late as April 2023 is available in GPT-4 Turbo, compared to September 2021 in GPT-4 and GPT -3.5; additional UX improvements include the capacity to choose the appropriate tools automatically. Furthermore, compared to GPT-4, GPT-4 Turbo costs 3 times less for input tokens and 2 times less for output tokens.

  1. Claude 2.1

Claude 2.1 from Anthorphic, brought to you by the techies that departed OpenAI in 2019, was launched in November of last year. With a 200K context window, the model one surpasses the GPT-4 Turbo and can handle 150,000 words, or more than 500 pages. Consequently, the LLM can provide more comprehensive forecasting, translation, Q&A, summarization, and document comparison capabilities.

Claude 2.1, now included in Anthorphic’s AI chatbot software and available for enterprise use, is said by the Amazon-backed startup to provide a 2x reduction in hallucinations. Claude 2.1 is probably going to have between 530 billion and one trillion parameters because Claude 2.0 was trained on 530 billion parameters.

3.  Gemini

DeepMind and Google Research gave a sneak peek at what they believe to be their second attempt to compete with ChatGPT and other competitors last week. Multimodality was at the center of the company’s Gemini model launch, which represented the new LLM.

Gemini Ultra, the most computationally demanding model for data centers, Gemini Pro, a more compact variant, and Gemini Nano, intended for mobile use, are the three sizes available for the Gemini model.

Google said that Gemini Nano and Pro would be compatible with its AI chatbot Bard and the Pixel 8 smartphone, respectively. Beginning on December 13, developers and enterprise clients can access the latter via the Gemini API in Google Cloud Vertex AI and AI Studio. AICore provides Gemini Nano to Android developers so they may use it for Android development.

Google asserts that in “30 of the 32 widely used academic benchmarks,” Gemini Pro-powered Bard performs better than OpenAI’s GPT-4-powered ChatGPT, in contrast to the unfavorable PaLM-powered Bard. Nevertheless, its 32K context window is still tiny and can only hold about 24,000 words.

Bard’s primary benefit over ChatGPT is its capacity to do web searches for reliable information.

  1. Microsoft Chat’s Copilot

Speaking of web search results, Microsoft released their GPT-4-powered AI chatbot for web search much ahead of Google in February 2022, becoming it the first major tech company to do so.

Originally released as Bing Chat, Microsoft relaunched it as Copilot in November at Microsoft Ignite 2023, along with the rest of its AI assistant lineup. The business upped the ante this month by integrating GPT-4 Turbo into Copilot, becoming the first chatbot to use the cutting-edge LLM.

Without a doubt, Copilot’s interaction with the extensive Microsoft ecosystem is its greatest benefit.

  1. Llama 2

Meta’s Llama 2 only offers a 4K context window (~3,500 words input), which is smaller than other models on this list. But as Llama 2 is the first LLM based on an open-source ideology, it deserves a spot on this list. The Llama Materials may be used, copied, distributed, reproduced, modified, and made into derivative works by developers.

Hugging Face’s model hosting platform, Azure, AWS, and the three versions of Llama 2 that were trained on 7 billion, 13 billion, and 70 billion parameters are all accessible. The website showcases the basic functionality of the undeveloped model, which is only accessible by developers for implementation.

  1. Grok

Elon Musk’s goal to use the valuable X data, which API-based access the business restricted this year, plus his background in AI development at Tesla and as the co-founder and board member of OpenAI may have resulted in Grok.

As with everything Musk, Grok was launched last week for X Premium Plus users in the United States by xAI with great hoopla. Grok has a knowledge base akin to GPT-3.5 and provides answers with details till Q3 2023. Grok-1 is the operating system.

  1. Chatsonic

Writesonic’s AI content creation engine is called Chatsonic. The main distinction between Chatsonic and the generative AI tools mentioned above is that Chatsonic uses both a rule-based and a machine-learning approach.

With the slogan “Best ChatGPT Alternative for Content Creation,” Chatsonic can produce correct copy by utilizing GPT-4, writing as a variety of personalities, and integrating with Google search. Multimodal elements are also included in the premium tool.

Final Thoughts

Other than Chatsonic, it appears that the short-term goal of these vendors—who presently charge nothing to nothing for their generative AI goods and services—is acclimating consumers to these instruments.

It’s unknown how the costs taken for ChatGPT would be received by an average user. Offering it for free, however, seems like a sensible course of action for the time being to acclimate customers to these kinds of generative AI services, which may someday transfer to enterprise/corporate-level applications. Microsoft is far ahead of any other firm in this area, having commercialized and incorporated generative AI throughout its range of products.

Furthermore, OpenAI and Anthorphic already have GPT-4 Turbo available for individuals who are accustomed to ChatGPT and related tools and are cautious of its restrictions. It will be interesting to watch how the remaining businesses—which don’t have to be on this list—catch up.

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