Releasing the open weight models to the research community and developers in general is not a bad thing though. On the topic of on-device. It can be interesting for a lot contexts though, which is why Apple does/tried it. One is privacy (I don’t think most people want third
OPEN SOURCE
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100+ Free AI Agents and RAG Tutorials Released
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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Awesome LLM Apps Reaches 70k Stars: 100+ Free AI Agents
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Awesome LLM Apps just crossed 70k+ stars. 100+ AI Agents and RAG apps with step-by-step instructions. 100% free and Opensource.
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MMR1: Multimodal Reasoning with Variance-Aware Sampling
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MMR1 Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
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French Civil Code versioned on GitHub with historical commits
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one time some dude put the entire French civil code dating back to napoleon on github, with changes to the code over time as commits
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Share AI datasets and models on Hugging Face
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Very cool! Any chance you could share the datasets or models on hf for the community?
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GGUF Quantization: 350M Model Uses Just 380MB
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Really tiny. We released GGUF quants, so with 8-bit precision and 4k context the 350M will use ~380 MB and the 1.2B ~1.4 GB (to give you a rough estimate).
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WebGazer.js Eye Tracking: Browser-Based Computer Vision
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Messing around with WebGazer.js for eye tracking Pretty wild what your browser can do with just a webcam https://
webgazer.cs.brown.edu -
OpenAI Releases Open Source AI Evaluation Benchmark Suite
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Read more at our blog and our paper, and visit http://
evals.openai.com to browse our open source subset. And if you’re interested in contributing, sign up here: