What I agree on is: Open weights != Open Source
OPEN SOURCE
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Open Weights Models Crucial for AI Research and Interpretability
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literally no, open weights alone allow for so much science and interpretability research to follow. we should applaud any attempts to open research/ weights, even if it's non-commercial.
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Open Weights Enable Scientific Research and AI Interpretability
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literally no, open weights alone allow for so much science and interpretability research to follow. we should applaud any attempts to open research/ weights, even if it's non-commercial.
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Pixtral-Large-Instruct Model Released on Hugging Face Hub
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Congrats on the release! Love to see the weights on the Hub! https://
huggingface.co/mistralai/Pixt
ral-Large-Instruct-2411
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Mistral Releases Pixtral Large Vision Language Model
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Pixtral Large: https://
huggingface.co/mistralai/Pixt
ral-Large-Instruct-2411
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Mistral Releases Pixtral Large 123B Multimodal Model
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Great day for LLMs, @MistralAI just released Mistral & Pixtral Large – ~123B, 128K context, Multilingual, JSON + Function calling support & open weights! Pixtral Large:
> SoTA on MathVista, DocVQA, VQAv2
> Extends Mistral Large 2 123B multimodal decoder, 1B parameter vision -
New Pixtral-Large-Instruct version now available
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BREAKING: Pixtral-Large-Instruct-2411 is now available on @huggingface. Evals to follow.
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Drupal 11.1 introduces object-oriented hooks for modern PHP
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Something to get excited about for @Drupal 11.1? Object-oriented hooks for more modern and performant @official_php
. Check out the module on Github to see this update in action! https://
bit.ly/4fMpMSv #drupal #drupal11 #drupaldevs -
Unsloth AI Training Code Works Across Cloud Local Environments
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It's a good point. The training code uses @UnslothAI and can run pretty much anywhere: cloud GPUs, Colab notebooks, local machines, etc. I'll add a blob about that in the readme.
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LLM Engineers Handbook: Training and Deployment Guide Updated
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I just updated the official repo of the LLM Engineer's Handbook, already sitting at 1.6k I recommend checking out the LLMOps pipelines, especially if you're a researcher. Train and deploy with AWS, monitor with Opik, and run with ZenML. GitHub: https://
github.com/PacktPublishin
g/LLM-Engineers-Handbook
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