so cool! any chance you could share a dataset or model on http://
hf.co for the community?
OPEN SOURCE
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Share Your Dataset or Model on Hugging Face
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GTC 2026 Golden Ticket Contest Open Source Projects
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One week left! Don’t miss your chance to win the ultimate GTC experience in Washington, D.C. (Oct. 27–29) Your Golden Ticket includes: Full-conference pass Priority seating at Jensen’s keynote Complimentary DLI course How to enter: Share an OSS project
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AWS passive income strategy hosting open source LLMs
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He can sit back while startups develop and host the best open source LLMs on AWS. Solid passive income strategy.
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Adding Datasets to Hugging Face Platform
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Nice! Any chance for it to be added to http://
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LangChain Rewrites DeepAgents Package for v1 Release
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We rewrote our deepagents package on top of the upcoming LangChain v1 release! Deepagents excel at agentic tasks by leveraging their planning, filesystem, and sub-task capabilities. We built these features with LangChain middleware (new in LangChain 1.0!), and as a result,
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Training Materials Using Project Gutenberg Public Domain Corpus
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Yes! The bonus materials include training on the Project Gutenberg public domain book corpus. I don’t want to go beyond that though and curate other datasets because of copyright concerns. However, you could eg use the FineWeb dataset which is available from hugging face.
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Mito AI: Open-Source AI Agent for Jupyter Notebook Workflows
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AI agent that can create full notebook workflows inside Jupyter Notebooks!
— Sumanth (@Sumanth_077) 24 septembre 2025
Mito AI is an open-source toolkit that brings AI directly into your Jupyter Notebooks.
This is like Cursor for Data teams
100% Open Source pic.twitter.com/6tU0jCyQSNAI agent that can create full notebook workflows inside Jupyter Notebooks! Mito AI is an open-source toolkit that brings AI directly into your Jupyter Notebooks. This is like Cursor for Data teams 100% Open Source
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PrimeIntellect and willccbb launch hands-on RL environments workshop
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> i want @PrimeIntellect and @willccbb running a hands-on RL environments workshop, with opensource models hosted directly on their infra there's so much possible this is what focusing on Local AI should look like
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Open-Source AI Tools: RunPod, OpenRouter, and Local Function Calling
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> i want @runpod
, @openrouter
, and many more to show how they've made it so easy to tinker with open-source AI > i want someone to break down the openai api > i want local function calling, live, with open models -
Open-source LLMs platform demo from millions to 100B parameters
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> i want @huggingface to demo how literally every open-source llm-from a few million params to 100b+-runs on their platform: streamed, quantized, fine-tuned, deployed. everything working, everything open, everything awesome