AI is getting better at math but we're just scratching the surface of what they will be capable of doing IMO (ex O3 only got 25% on FrontierMath). So we're super excited to release FineMath, the best open math dataset for everyone to use. Currently number one trending datasets
OPEN SOURCE
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Celebrating Open Science Advocacy and Community Experiment Sharing
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what a ride! thank you for being a huge advocate for open science and releasing your experiments out to the community!
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Open Models Exploded in 2024 Despite Upcoming Challenges
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The good news: Open models -exploded- in 2024! We were honored to have @soldni and @sophiamyang break down the incredible year in open models in our latest published pod! The bad news? Incentives, regulation, resource constraints, and many more challenges in 2025. If the
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Chollet launches consulting profile on Params platform
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I started a profile on Params, where you can book a consulting call with me to chat about recommender system plans: https://
params.com/@fchollet Params is a platform for open-source devs to publish project templates — project users can then book calls with template authors. -
Sriram’s AI Policy Work Promotes Open Source Innovation
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Sriram has been consistently thoughtful about AI policy, including specifically the importance of promoting open source. His working with @DavidSacks on AI will be good for innovation and good for the U.S. Thank you @sriramk for your service! https://
x.com/sriramk/status
/sriramk/status/1870955225978384509
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Effective prompts for summarizing technical content with open models
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Does anyone have good examples of prompts for summarising technical content? Looking at something that works w/ open models Trying something fun!
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KerasHub Generative Models Now JAX-Based with TPU Support
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All of the generative models on KerasHub run on JAX and are TPU compatible, with model parallelism built-in, so check it out
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Python and Machine Learning Roadmap to AI Mastery
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Learn Python and Machine Learning: Your ultimate roadmap to AI mastery! Core Areas: Python Basics: Data types, loops, functions. Libraries: NumPy, Pandas, TensorFlow, Scikit-learn. ML Algorithms: Linear regression, SVM, K-means. Deep Learning: CNNs, RNNs, GANs.
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Alibaba Releases Qwen2.5 LLM Series with Competitive Performance
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5). Qwen-2.5 Technical Report – Alibaba releases Qwen2.5, a new series of LLMs trained on 18T tokens, offering both open-weight models like Qwen2.5-72B and proprietary MoE variants that achieve competitive performance against larger models like Llama-3 and GPT-4.
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LangChain Releases Chat-LangChain Open Source Project
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Yes! https://
github.com/langchain-ai/c
hat-langchain
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