Note that these models are tiny, so I would always recommend fine-tuning them for your use case. My colleague @EdoardMosca created two Colab notebooks to help you in this adventure. You can find them in the model cards. More tutorials to come! 🙂
EDUCATION
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Algorithms on Trees and Graphs with Python Code
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#Algorithms on Trees and Graphs (with #Python Code): http://
amzn.to/3IrmKWs ——————
#AI #MachineLearning #BigData #DataScience #RDF #LinkedData #GraphDB #GraphAnalytics #Semantics #KnowledgeGraphs #RAG #LLMs #DataStructures #DataScientist #Coding -
AI in Medicine and Domain-Specific Applications with fastai
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Showing that this could be applied to transform an important domain (
@enlitic doing AI in medicine) was the next big step. Then enabled others to do it in their own domains (with @fastdotai
) was next… -
Non-coding contributions drive open source innovation forward
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AmyJune Hineline makes a great point in this recent interview: You don’t need to be an expert coder to contribute meaningfully to open source—mentoring, documentation, and event organizing all drive innovation forward. https://
bit.ly/3IpE3ZY
#opensource #communitybuilding -
ChatGPT at School: Rethinking Education for New Challenges
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Today, all students use ChatGPT to slack off. We must invent tomorrow's school, otherwise we will sacrifice an entire generation. Watch the full episode with Alexia Borg on Talents et Carrière on Figaro TV.
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Stanford CS336: Comprehensive Course on Building Language Models from Scratch
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Stanford CS336: Language Models from Scratch! This is a comprehensive course on language models covers the full process of building one from scratch. It includes data collection, pretraining, transformer architecture, training, evaluation, and deployment.
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Post-training LLMs: New Course by Banghua Zhou
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New Course: Post-training of LLMs
— Andrew Ng (@AndrewYNg) 9 juillet 2025
Learn to post-train and customize an LLM in this short course, taught by @BanghuaZ, Assistant Professor at the University of Washington @UW, and co-founder of @NexusflowX.
Training an LLM to follow instructions or answer questions has two key… pic.twitter.com/ssqCqYqK4KNew Course: Post-training of LLMs Learn to post-train and customize an LLM in this short course, taught by @BanghuaZ
, Assistant Professor at the University of Washington @UW
, and co-founder of @NexusflowX. Training an LLM to follow instructions or answer questions has two key -
Colleges Partner with Evisions to Launch Data-Driven AI Accelerators
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Colleges + universities are under pressure to do more with data. That’s why we’ve expanded our partnership with @EvisionsInc to launch Accelerators, scalable solutions that drive insight + action across campus. Learn more: https://
ow.ly/6q0s50WlSv4 -
Deep Learning Curriculum Standard in Advanced AI Education
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pretty much every deep learning class includes a few weeks on it
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New AIoT Book Release: Hands-On AI for IoT Second Edition
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as