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Mistral's "Le Big Model" Is an Open Source Beast That's Partnering with Microsoft

Welcome Renaissance Creator,

You know what they call a Big Mac in France? Le Big Mac.

What do they call a state of the art, open source, Large Language Model in France? Le Big Model.

Mistral does anyway. And it’s ready to compete with the big boys, to the tune of a partnership and a $16 million investment from Microsoft.

Let’s dive in.

Hot Off The Press

The One Big Thing

Le Big Model is Ready for Prime Time

Mistral, the French AI company at the forefront of the open source revolution, is upping their game and releasing their largest and most powerful model yet: Mistral Large.

The Basics:

  • Mistral Large is available through la Plateforme (Mistral hosted) and Microsoft Azure, their first distribution partner

  • 32K token context window

  • Natively fluent in English, French, Spanish, German, and Italian

  • Outperforms every publicly available model aside from GPT-4 at coding and math and shows powerful reasoning capabilities

  • Also released today: Mistral Small, optimised for latency and cost. Mistral Small outperforms Mixtral 8x7B and has lower latency

One of the more interesting parts of this release is the built-in distribution of Microsoft’s Azure that Mistral is targeting.

Open source models are no longer going to just be used by hobbyists but by professionals alike. We are entering a whole new world where models become freely accessible and the only limitation becomes the cost of compute. We can reasonably expect to see developers operating in one cloud environment and working with whichever model is best suited for each specific task in each instance.

This creates a new type of business model for open source companies and startups in general. While it seemed for the longest time that GPT-4 would be the model of choice for every use case, this may no longer be the case any longer. The power of open source comes in the ability for anyone in the world to improve upon it.

While Mistral Large may be slightly behind GPT-4 in terms of performance at the moment, the power of open source means that the entire model and weights (parameters) are open to the public.

People can tweak and improve upon them as they choose. Open source unleashes the power of the collective toward a common goal. While I don’t see Large being able to leapfrog GPT-4 anytime soon, this is a baby step towards a more decentralized AI future.

A beautiful sight to behold.

Fix bugs simply by taking a video of them

AI assisted social media engagement

ChatMusician: Understanding and Generating Music Intrinsically with LLM

New Sora videos dropped and look incredible (Beehiiv, please fix Reddit embed links)

Tools

Must have tools for every Renaissance creator to add to their toolkit:

  • Lmsys: Chat with any language model of your choice 

  • StickerBaker: Make stickers with AI

  • Archer: Tackle 1000s of questions, real SAT tests, and enjoy personalized learning with Archer, your AI math guide.

  • Myko AI is a conversational AI for sales and revenue teams that instantly answers questions and builds reports from a user’s existing data sources

  • STORM, a system that writes Wikipedia-like articles based on Internet search

  • Pmndrs/ Uikit by @BelaBohlender is fully responsive via flexbox, built on the yoga layout engine

  • Daily Portfolio Summarizer with Langchain, Qdrant, and Mistral AI

Deep Tech

The newest and coolest in the research world that you need to know about:

Closing Thought

WhatsApp reached unicorn status with under 20 people. What will be the smallest AI unicorn?

Me, wondering which teenage kid from a remote country will pull this off

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