Devendra Chaplot @dchaplot
Building next-gen AI at @MistralAI. Past: Research Scientist at Facebook AI Research. Ph.D. @SCSatCMU, BTech @iitbombay CS. devendrachaplot.github.io SF Bay Area Joined April 2010-
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It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
Mixtral 8x22B sets a new standard for performance and efficiency for the AI community. Apache 2.0. mistral.ai/news/mixtral-8…
Snowflake Copilot, a breakthrough AI-powered SQL assistant powered by @MistralAI large is now in public preview @SnowflakeDB!
magnet:?xt=urn:btih:9238b09245d0d8cd915be09927769d5f7584c1c9&dn=mixtral-8x22b&tr=udp%3A%2F%2Fopen.demonii.com%3A1337%2Fannounce&tr=http%3A%2F%https://t.co/OdtBUsbeV5%3A1337%2Fannounce
Ridiculous pace of execution by @arthurmensch and team. In ~90 days, every major cloud, from @awscloud @Azure to @googlecloud @SnowflakeDB @databricks has rushed to become a @MistralAI partner @MistralAI is rapidly becoming the only frontier AI model family available everywhere.
Ridiculous pace of execution by @arthurmensch and team. In ~90 days, every major cloud, from @awscloud @Azure to @googlecloud @SnowflakeDB @databricks has rushed to become a @MistralAI partner @MistralAI is rapidly becoming the only frontier AI model family available everywhere.
There's some confusion regarding Mistral-7B-v0.2 Base model: - This is the base model behind Mistral-7B-Instruct-v0.2 released in Dec, 2023. The base model was not released just because we forgot. - Primary goal behind v0.2 was to increase the context window from 8K to 32K.
New open-source release for the Mistral AI Hackathon Mistral 7B v0.2 Base: models.mistralcdn.com/mistral-7b-v0-… - 32k context window - Rope Theta = 1e6 - No sliding window This is the raw pretrained model behind Mistral-7B-Instruct-v0.2 Also, new fine-tuning repo: github.com/mistralai-sf24…
Congratulations, interesting how Github stars seem to correlate to superfluous parameters 😉
Building something with OSS models, or OSS-curious? Join the @MistralAI founders @arthurmensch @GuillaumeLample for a @w_conviction AI community event 3/21 in SF! lu.ma/conviction.mis…
The first @MistralAI Hackathon! Sign up at: partiful.com/e/Zk9c9HVsmtsG…
The first @MistralAI Hackathon! Sign up at: partiful.com/e/Zk9c9HVsmtsG…
Proud to announce: Mistral Large - 81.2% MMLU - outperforms Claude 2, Gemini 1.0 Pro, GPT-3.5 - multilingual with seq_len = 32K - json mode and function calling Also excited to launch Le Chat (Try it now at chat.mistral.ai) 🔗 mistral.ai/news/mistral-l…
reddit.com/r/LocalLLaMA/c… https://t.co/aa9F9B67Wx
How to get started with @MistralAI? 🔸Prompting: docs.mistral.ai/guides/prompti… 🔸RAG: docs.mistral.ai/guides/basic-R… 🔸Embeddings: docs.mistral.ai/guides/embeddi…
An over-enthusiastic employee of one of our early access customers leaked a quantised (and watermarked) version of an old model we trained and distributed quite openly. To quickly start working with a few selected customers, we retrained this model from Llama 2 the minute we got…
We released a 70B version of CodeLlama today! Trained on 1T tokens, it is a much stronger base model for coding tasks. I look forward to seeing what the community will do with it! :)
We released a 70B version of CodeLlama today! Trained on 1T tokens, it is a much stronger base model for coding tasks. I look forward to seeing what the community will do with it! :)
Mixtral is now powering Leo, Brave browser assistant!
Jim Fan @DrJimFan
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It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
New short course with @MistralAI ! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
Fwiw I don't see this as evidence that Llama 3 70B is "as good as" gpt-4. It definitely has clear limitations in real use. But it is evidence that we are perhaps reaching the limits of the current implementation of chat arena as an evaluation instrument.
🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next…
Extremely honored to receive the @gtcomputing Rising Star Doctoral Student Research Award last week! 🎉 A big thanks to my advisor @DhruvBatraDB and @zsoltkira for their constant support and encouragement 🙂
I love the continued progress in open source LLMs. Amazing work from @MistralAI.
We're excited to host @MistralAI's Mixtral-8x22B-Instruct-v0.1 on @anyscalecompute Endpoints! This new model outperforms all other open source models -- function calling support coming soon as well! Pricing: $0.90/Million Tokens
Today @MistralAI releases Mixtral 8x22B, 39B active parameter model under Apache 2.0 allowing anyone to use the model anywhere without restrictions. Fluent in 5 languages, excels in math & coding, with a 64K token context for precision. More efficient than any 70B model.
Build RAG, Function Calling, and Agents with @llama_index and @MistralAI 8x22b - the most powerful @MistralAI model to date, and the best model in its (active) parameter class so far! Features: 64k token context, multilingual, coding, function calling, math, and more. Uses 39B…
The latest model from @MistralAI, the hugely powerful 8x22b, defines the state of the art in open models and is now available! As usual, we have day 0 support: check out @ravithejads's Mistral cookbook showing ➡️ RAG ➡️ Query routing ➡️ Tool use docs.llamaindex.ai/en/latest/exam…
I am really impressed with @MistralAI Mixtral-8x22b-instruct. It's so good at playing Dungeons and Dragons with me. With no examples or system prompt. Just went right into it!
Big congrats to @MistralAI on the new model launch! Mixtral-8x22b-instruct is now in the Arena. Come chat & vote to see who is the best OSS model. We're also excited to see the model's strong multilingual capability. Soon will update our newly launched French LLM leaderboard!
We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: - Free to use under Apache 2.0 license - Outperforms all open models - Native function calling - Masters English, French, Italian, German and Spanish. - Seq_len = 64K mistral.ai/news/mixtral-8…
Using laser to make scratches a feature
.@MistralAI's Mixtral 8x22B Instruct is now available on Ollama! ollama run mixtral:8x22b We've updated the tags to reflect the instruct model by default. If you have pulled the base model, please update it by performing an `ollama pull` command.
mistral.ai/news/mixtral-8… 8x22B instruct released. Come play with it.
😆
We pay in Fahrenheit.
In my opinion, this is an absolutely major theme in the coming years. A massive wage arbitrage has opened between the US and its competitors. The overwhelming majority of people in the US have no idea just how much more money they make than the Japanese, French, British, etc.
Back with more Apache 2.0! We just released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: - Outperforms all open models with only 39B active parameters - Native function calling and 64K context Blog: mistral.ai/news/mixtral-8… HF base: huggingface.co/mistralai/Mixt… HF instruct:…
We released Mixtral-8x22B-v0.1 and Mixtral-8x22B-Instruct-v0.1: 🆓 Free to use under Apache 2.0 licence 🌍 Speaks English, French, Italian, German and Spanish 📏 64k context length 📞 Handles function calling 🧠 Strong on code and math Enjoy 😄 mistral.ai/news/mixtral-8…
Cheaper, Better, Faster, Stronger! Mixtral 8x22B Instruct by @MistralAI is out! - Apache 2.0 - 64k sequence length - Built-in function calling and multilingual! Outperforms all open models, cheap to serve, available at: huggingface.co/mistralai/Mixt… Blog: mistral.ai/news/mixtral-8…
Alongside our Mixtral 8x22B release, we are releasing our tokenizers, which go beyond the usual text <-> tokens, adding parsing of tools and structured conversation. Repo: github.com/mistralai/mist… Guide: docs.mistral.ai/guides/tokeniz…
This is the way
Mixtral 8x22B sets a new standard for performance and efficiency for the AI community. Apache 2.0. mistral.ai/news/mixtral-8…