[#Article] Mistral Large 2: State-of-the-art code generation, mathematics and reasoning capabilities https://actuia.com/actualite/mistral-large-2-des-capacites-de-generation-de-code-en-mathematiques-et-en-raisonnement-de-pointe/
… #AI #ArtificialIntelligence
RESEARCH
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Mistral Large 2: Advanced Capabilities in Code, Mathematics and Reasoning
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Integrating Hugging Face Papers into AI Research Workflows
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would be cool to integrate with http://
huggingface.co/papers! -
Generative AI Interactive Feature by Financial Times
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Check this out: https://
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How LLMs Work Explained with Visuals
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How LLMs work, explained with visuals: pic.twitter.com/XkxWU6u4B7
— Sumanth (@Sumanth_077) 29 juillet 2024How LLMs work, explained with visuals:
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FineLlama-3.1-8B Model Deployment Issues on Hugging Face
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I've also made a Hugging Face Space to chat with the FineLlama-3.1-8B model we build in the article.
— Maxime Labonne @ ICLR (@maximelabonne) 29 juillet 2024
The model looks good but the space tends to crash after one answer. I'm interested if you know how to fix it!
🤗 Space: https://t.co/6bDNLHShqh pic.twitter.com/PLjzajao0xI've also made a Hugging Face Space to chat with the FineLlama-3.1-8B model we build in the article. The model looks good but the space tends to crash after one answer. I'm interested if you know how to fix it! Space: https://
huggingface.co/spaces/mlabonn
e/FineLlama-3.1-8B
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FineTome-100k: High-Quality Filtered Dataset Release
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I'm also releasing FineTome-100k, a refiltered subset of arcee-ai/The-Tome using fineweb-edu-classifier. It's super high-quality data, perfect when you need extra samples to concatenate with a dataset. FineTome: https://
huggingface.co/datasets/mlabo
nne/FineTome-100k
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Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth
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Fine-tune Llama 3.1 Ultra-Efficiently with @UnslothAI New comprehensive guide about supervised fine-tuning on @huggingface
. Over the last year, I've done a lot of fine-tuning and blogging. This guide brings it all together. Article: https://
huggingface.co/blog/mlabonne/
sft-llama3
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PEFT v0.12.0 Release: OLoRA, X-LoRA, FourierFT Methods
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in case you missed it last week: peft v0.12.0 just dropped With some cool new param-efficient methods like OLoRA, X-LoRA, FourierFT, and more
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AI Models Enhancing Research Across Academic Disciplines
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Dr. Mayuri Mehta, professor at Sarvajanik College of Engineering and Technology in Surat, India, believes AI models can significantly aid researchers at various stages of research. With over two decades of experience, she has published numerous books and papers on AI-powered
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Synthetic Data Accumulation Better Than Replacement Strategy
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Synthetic data works well – as long as you accumulate data, instead of replacing. Great thread from @RylanSchaeffer