Sandeep @sandeep1337
Data & Pretraining @MistralAI | Previously @NVIDIA | PhD @MILAMontreal | Masters @SCSatCMU | Intern at @MSFTResearch @facebookai @element_ai @DescriptApp sandeeplearning.com San Francisco, CA Joined February 2009-
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We just dropped new 24B base and instruct models under the Apache 2.0 license. Pretraining this model was a ton of fun!
We just dropped new 24B base and instruct models under the Apache 2.0 license. Pretraining this model was a ton of fun!
The new Mistral Large 2 is here🔥 It's now leading the Arena hard leaderboards. Super impressive performance in Coding, Hard Prompts and Math, surpassing top-tier models GPT-4 Turbo/Claude Opus! Plus, it's an open-weight model -- another great news for the open-source…
The new Mistral Large 2 is here🔥 It's now leading the Arena hard leaderboards. Super impressive performance in Coding, Hard Prompts and Math, surpassing top-tier models GPT-4 Turbo/Claude Opus! Plus, it's an open-weight model -- another great news for the open-source… https://t.co/dlE1n5jF84
Today, we release Mistral Large 2, the new version of our largest model. Mistral Large 2 is a 123B-parameter model with a 128k context window. On many benchmarks (notably in code generation and math), it is superior or on par with Llama 3.1 405B. Like Mistral NeMo, it was trained…
Today, we release Mistral Large 2, the new version of our largest model. Mistral Large 2 is a 123B-parameter model with a 128k context window. On many benchmarks (notably in code generation and math), it is superior or on par with Llama 3.1 405B. Like Mistral NeMo, it was trained…
We released Mistral-NeMo 12B today. A model trained with some of my previous collaborators @nvidia. - 128K sequence length - 128k vocab size with good compression in 100+ languages. - Base & FP8 Instruct Model with strong results - Apache 2.0 Blog: mistral.ai/news/mistral-n…
Excited to share one of the things that I've been working on for the past few months after joining Mistral - Codestral-22B. Particularly satisfying to build a code assistant with FIM since it is what I use LLMs for the most. Try it for free on LeChat - chat.mistral.ai/chat
We just dropped the 8x22B Base and Instruct Models on @huggingface with an Apache 2.0 License! Looking forward to seeing what the open-source community cooks with this! Blog: mistral.ai/news/mixtral-8… HF base: huggingface.co/mistralai/Mixt… HF instruct: huggingface.co/mistralai/Mixt…
Thrilled to announce the first @MistralAI Hackathon in San Francisco on March 23-24! Sign up at: partiful.com/e/Zk9c9HVsmtsG… Keynote from Mistral AI founders: @arthurmensch & @GuillaumeLample. Mistral AI mentors: @dchaplot, @sandeep1337, @theo_gervet, @mjmj1oo, @sophiamyang
Mistral Large (mistral.ai/news/mistral-l…) is now available at chat.mistral.ai/chat!
We’re announcing a new optimised model today! Mistral Large has top-tier reasoning capacities, is multi-lingual by design, has native function calling capacities and a 32k model. The pre-trained model has 81.2% accuracy on MMLU. Learn more on mistral.ai/news/mistral-l…. Mistral…
We just released Mixtral 8x7B paper on Arxiv: arxiv.org/abs/2401.04088
Retrieval meets Long Context Large Language Models Llama with 32K context using retrieval-augmentation at generation outperforms finetuned LLM with 32K context via positional interpolation, while taking much less computation arxiv.org/abs/2310.03025
Defended my PhD thesis "On Representation Learning for Generative Models of Text" @Mila_Quebec last week. Shoutout to my awesome committee @sleepinyourhat @chrisjpal, Yoshua Bengio, @AaronCourville, and Philippe Langlais. Excited about my next adventure as a researcher @NVIDIAAI.
Thrilled to share the winners of our 2020 Graduate Fellowship Awards. These awards are given to students who've shown outstanding #research capabilities and represent leading Canadian universities & #AI institutes. #Canada Read more: bit.ly/2MjLySh
Our paper titled “Towards Content Transfer through Grounded Text Generation” with @MSFTResearch co-authors @chris_quirk and Michel Galley has been accepted to #naacl2019. Paper: arxiv-export-lb.library.cornell.edu/pdf/1905.05293 Dataset & Code: github.com/shrimai/Toward… Project Page: microsoft.com/en-us/research…
If you're at #iclr2019, come check out our poster from 11-1 on Thursday (with @FacebookAI and @milamontreal) on text rewriting arxiv.org/abs/1811.00552. With collaborators @GuillaumeLample, Eric Smith, @LudovicDenoyer, Marc'Aurelio and Y-Lan.
Introducing PogChampNet: a deep convolutional net that takes only a video of Overwatch gameplay as input and can automatically extract the "highlight worthy" moments. Automatic montages! It was trained on data powered by Twitch chat and its memes. blog: goo.gl/KRFYZE
#BigGAN is so much fun. I stumbled upon a (circular) direction in latent space that makes party parrots, as well as other party animals:

Koustuv Sinha @koustuvsinha
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