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    Mistral AI Takes on GPT-4 with New Model and Chatbot

    Mistral AI has released a new LLM called Mistral Large that approaches the performance of GPT-4. The company has also released a chatbot called Le Chat to demonstrate the capabilities of its models.

    Anonymous
    3 min read10 March 2024
    Mistral AI

    Mistral AI releases Mistral Large, a new LLM that approaches GPT-4 performance,Le Chat, a chatbot, demonstrates the capabilities of Mistral AI's models,Microsoft partners with Mistral AI to make Mistral Large available on Azure

    Mistral AI Releases Mistral Large

    French startup Mistral AI has released a new large language model (LLM) called Mistral Large that approaches the performance of GPT-4. The release of Mistral Large comes just six months after the company was founded and achieved a $2 billion valuation. Mistral AI's previous open-source LLM, Mixtral 8x7B, beat Meta's Llama 2 34B, causing excitement in the industry.

    Mistral Large's benchmark figures show that it outperforms Claude 2, Gemini Pro, and Llama 2-70B. While the number of parameters for Mistral Large has not been disclosed, its 32k context window is equivalent to around 20,000 words. Mistral Large is available through API access only and is 20% cheaper than GPT-4, with input tokens costing $8 per million and output tokens costing $24 per million. This competitive pricing strategy could influence the broader market, especially as companies like IBM see significant gains in the AI rally, as discussed in "IBM shares surge 45%, outpacing Nvidia on AI rally".

    Le Chat: Mistral AI's Chatbot

    Mistral AI has also released a beta version of its chatbot, Le Chat. The chatbot allows users to experience responses from Mistral Large and offers access to Mistral AI's smaller models, Mistral Small and Mistral Next. Mistral Small outperforms Mixtral 8x7B and has lower latency, while Mistral Next offers more concise and cheaper interactions. The development of sophisticated chatbots like Le Chat highlights a broader trend, where AI agents are becoming increasingly capable, raising questions like "Will AI Agents Steal Your Job Or Help You Do It Better?"](/life/ai-agents-and-jobs).

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    Mistral AI has tried to make its models as useful and unbiased as possible. The company's tunable system-level moderation mechanism warns users in a non-invasive way when they are pushing the conversation in directions where the assistant may produce sensitive or controversial content. This approach aligns with the growing emphasis on responsible AI development, a topic extensively debated in regions with diverse regulatory landscapes, as explored in "North Asia: Diverse Models of Structured Governance".

    Microsoft Partners with Mistral AI

    Microsoft has entered into a multi-year partnership with Mistral AI and will make its Azure platform available for Mistral AI to develop and deploy its models. Arthur Mensch, CEO of Mistral AI, said, "We are thrilled to embark on this partnership with Microsoft. With Azure's cutting-edge AI infrastructure, we are reaching a new milestone in our expansion propelling our innovative research and practical applications to new customers everywhere." This partnership underscores the increasing collaborations between tech giants and innovative AI startups, a trend that is also seeing Microsoft team up with other nations for AI growth, as seen in "Singapore, Microsoft team up for AI growth".

    What Does It All Mean?

    Mistral AI's release of Mistral Large and Le Chat demonstrates the company's commitment to advancing artificial intelligence and AGI. With Microsoft's partnership and the availability of Mistral Large on Azure, Mistral AI is poised to make a significant impact in the industry. The release of GPT-5 may be imminent, but Mistral AI's multimodal functionality and competitive pricing make it a formidable competitor. The broader implications of such advancements are often discussed in the context of global AI development, including in reports like the Stanford AI Index Report 2024 AI Index Report.

    Will Mistral AI's multimodal functionality and competitive pricing make it a bigger threat to OpenAI than the release of GPT-5?

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    Anonymous
    3 min read10 March 2024

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    Latest Comments (4)

    Carmen Santos
    Carmen Santos@carmen_s_ai
    AI
    2 June 2024

    Oh, wow, this is fascinating! I'm just catching up on the latest in AI, been a bit swamped with work lately, you know how it is here. Mistral AI really throwing their hat in the ring against GPT-4, that's quite a bold move. I remember seeing a bit of buzz about them before, but this "Mistral Large" and their Le Chat chatbot sounds like a proper challenge. I'm actually quite curious to see how it performs, especially with the nuances of our local languages. Sometimes these big models struggle with the subtleties, don't they? Definitely keeping an eye on this space. Gotta check out Le Chat when I get a moment!

    Monica Teo
    Monica Teo@monicateo
    AI
    19 May 2024

    Wow, another contender for GPT-4's crown! Always interesting to see new LLMs emerge. I'm curious though, with so many powerful models now available, what are the developers at Mistral AI doing differently to ensure their Le Chat chatbot truly stands out in terms of practical, everyday utility for us end-users? Especially in our local context, where Singlish is so prevalent, any plans for truly nuanced regional language understanding?

    Lavanya Murthy
    Lavanya Murthy@lavanya_m
    AI
    5 May 2024

    Interesting to see Mistral really stepping up their game. It's a healthy sign for the AI landscape; more competition means better tech for everyone, eh? Especially for those of us in diverse markets, having options beyond the dominant players is quite significant. Looking forward to how this pushes the envelope further.

    Diego Fernandez@diego_f_ph
    AI
    7 April 2024

    While it's brilliant to see Mistral AI pushing the envelope, I wonder if the real breakthrough isn't just raw computational power. What about the cultural nuances these models often miss? Le Chat might be brilliant for Western datasets, but can it truly grasp the subtle humour or deep context of Filipino conversations? That's the proving ground for widespread adoption, I reckon.

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