fred blnch (@frdblnch) profile picture
Joined December 2013
Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)Photo by fred blnch (@frdblnch)
fred blnch retweeted
You can now fine-tune Qwen3.8-27B for free with our notebook! 🔥 Local training works on 24GB VRAM. Unsloth trains Qwen3.8-27B 1.5x faster with 50% less VRAM. GitHub: github.com/unslothai/unsloth Qwen3.8-27B Notebooks + Guide: unsloth.ai/docs/models/qwen3…
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🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥 In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with @StePalminteri and @pyoudeyer ! Here is a brief recap ⬇️
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Magnetic micro robots. They can navigate through your blood vessels.
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fred blnch retweeted
Revamped the gratuitous explosions and particle effects to the code editor I'm building And added sound effects! (Sound on!)
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Yasmine Belkaid : "Il y a 0,3 % d’investissement en France pour la recherche fondamentale, contre 1 % en Allemagne : couper encore plus, c'est irresponsable. On va atteindre un point de non-retour." #le710Inter
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Post de circonstance. Le meilleur de 2024. Merci @FR_Conversation .
💦🏃‍♀️🚶‍♂️ Courir ou marcher sous la pluie ? Que vaut-il mieux faire ? Faites le bon choix avec nos conseils ! 🔗 Basé sur l’article : urlr.me/m7zfq #pluiesport #courseoumarche #santénaturelle #pluieconseils
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fred blnch retweeted
ollama run llama3.1:405b Tested in @tensorwave with @AMD MI300X 🤯
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fred blnch retweeted
Llama 3 just changed the LLM game. People are finding wild use cases at GPT-4 level. There is a massive movement in the open source community. 10 examples (and ways to use Llama 3):
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fred blnch retweeted
Artificial lifeforms are super fascinating to watch. These self-organizing, self-replicating, “lifeforms” emerged from a continuous time cellular automata system called Flow-Lenia. Lenia is a family of CAs generalizing Conway’s Game of Life to continuous space, time and states.
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fred blnch retweeted
Replying to @Dj14__ @ylecun
ollama run llama3
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fred blnch retweeted
It's fast!! Ollama now supports AMD graphics cards! All the features of Ollama can now be accelerated by AMD graphics cards in preview on Ollama for Linux and Windows. Try it 👇👇 ollama.com/download/windows *video is not edited.
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There will never be just one "Le Chat". It's Belgian and it's Philippe Gueluck's
Due to an unexpected number of requests, Le Chat is temporarily unavailable. We apologize for the inconvenience -- we are working on getting it back up and running as soon as we can, thanks for your patience!
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fred blnch retweeted
It’s inspiring to see co-founders & team leads at OpenAI (Greg being a prime example) writing code. The feeling invoked in me is almost like Medieval soldiers being inspired by the King fighting alongside them in battle (e.g., Richard the Lionheart, King Henry V, Charlemagne).
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Can we align LLMs to honesty via instruction finetuning? Can we instruct LLMs to say I Don't Know? Can uncertainty learning improve prediction ability? Excited to share R-Tuning, Refusal-Aware Instruction Tuning to tackle hallucination in LLMs. Paper: arxiv.org/abs/2311.09677
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fred blnch retweeted
Ollama works well with @llama_index and friends! Run open-source models (ex. Mixtral 8x7b) with ollama + @llama_index + @qdrant_engine to create an all local retrieval augmented generation application. Tutorial here blog.llamaindex.ai/running-m… Thank you @llama_index & @seldo!
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fred blnch retweeted
Pour les passionnés de l’Ircam 🤣🤣🤣 #ircam #lego
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fred blnch retweeted
RAG example w/ @streamlit, @llama_index, and Ollama. Thank you @sroecker for your workshop at Red Hat developer's hands-on day in Germany! github.com/sroecker/LLM_AppD… Let's go open-source!
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Homemade #RAG #LLM experiments, in Python, done locally, in French, thanks to @Ollama_ai , #FAISS lib, #Zephyr. Incredible opensource tools! (my modest GTX 1650 Super came through with flying colors ; speeding up video ; rag-data from my teaching activities)
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