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syhw.bsky.social

@syhw.bsky.social
149 followers 33 following 9 posts
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syhw.bsky.social @syhw.bsky.social · 26/02/2025
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution arxiv.org/abs/2502.18449 by Yuxiang, Sida, and the whole team! Get started with your favorite model here github.com/facebookrese...
arxiv.org
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
The recent DeepSeek-R1 release has demonstrated the immense potential of reinforcement learning (RL) in enhancing the general reasoning capabilities of large language models (LLMs). While DeepSeek-R1 ...
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syhw.bsky.social @syhw.bsky.social · 02/01/2025
EnCodec running in ffmpeg www.youtube.com/watch?v=5wlN...
youtube.com
ZML x FFmpeg
YouTube video by Steeve Morin
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syhw.bsky.social @syhw.bsky.social · 19/12/2024
Awesome work @kjain14.bsky.social!
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Reposted by @syhw.bsky.social
Kush Jain @kjain14.bsky.social · 19/12/2024
Thrilled to announce our new work TestGenEval, a benchmark that measures unit test generation and test completion capabilities. This work was done in collaboration with the FAIR CodeGen team. Preprint: arxiv.org/abs/2410.00752 Leaderboard: testgeneval.github.io/leaderboard....
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syhw.bsky.social @syhw.bsky.social · 16/12/2024
That's a wrap #neurips2024
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syhw.bsky.social @syhw.bsky.social · 15/12/2024
Don't transform the code, code the transform ! By Chris Cummins at #neurips2024
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syhw.bsky.social @syhw.bsky.social · 14/12/2024
Just gave a talk on "Grounding LLMs in Code Execution" at the NeurIPS Hacker-Cup AI Competition, here are the slides docs.google.com/presentation...
docs.google.com
[NeurIPS HackerCup 2024] Grounding LLMs in Code Execution
Grounding LLMs in Code Execution Gabriel Synnaeve, Meta, FAIR
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syhw.bsky.social @syhw.bsky.social · 09/12/2024
Gonna be at NeurIPS starting tomorrow afternoon. See you there, in particular if you want to talk about codegen and (post-)LLM research!
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syhw.bsky.social @syhw.bsky.social · 29/11/2024
> Quality is free, but only to those willing to pay heavily for it. > The major problems of our work are not so much technological as sociological in nature. > Get the best people (cut out the deadwood), and make them happy. Turn them loose.
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Reposted by @syhw.bsky.social
Thomas Wolf @thomwolf.bsky.social · 24/11/2024
It's Sunday morning so taking a minute for a nerdy thread (on math, tokenizers and LLMs) of the work of our intern Garreth By adding a few lines of code to the base Llama 3 tokenizer, he got a free boost in arithmetic performance 😮 [thread]
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