Hacker News
- Petals: Run 100B+ language models at home bit-torrent style https://github.com/bigscience-workshop/petals 155 comments
Linking pages
- Open Source AI and the Challenges Ahead - opn_cbr blog https://blog.opncbr.com/post/open_source_ai/ 11 comments
- GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT https://github.com/taishi-i/awesome-ChatGPT-repositories 5 comments
- Petals is creating a free, distributed network for running text-generating AI • TechCrunch https://techcrunch.com/2022/12/20/petals-is-creating-a-free-distributed-network-for-running-text-generating-ai/ 2 comments
- GitHub - learning-at-home/hivemind: Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world. https://github.com/learning-at-home/hivemind 1 comment
- List of Open Source Alternatives to ChatGPT That Can Be Used to Build Your Own Clone | by Timothy Mugayi | Apr, 2023 | Better Programming https://betterprogramming.pub/list-of-open-source-alternatives-to-chatgpt-that-can-be-used-to-build-your-own-clone-f45efb978ad9 1 comment
- awesome-marketing-datascience/awesome-ai.md at master · underlines/awesome-marketing-datascience · GitHub https://github.com/underlines/awesome-marketing-datascience/blob/master/awesome-ai.md 1 comment
- Python - Awesomeness https://bigbrozer.github.io/awesomeness/lists/python/ 0 comments
- State of LLaMA 2023/Q1. Here’s a mind map for AI/ML ChatGPT… | by katopz | Apr, 2023 | Better Programming https://betterprogramming.pub/state-of-llama-2023-q1-663905c37a5e 0 comments
- The rise of open-source large language models https://explodinggradients.com/the-rise-of-open-source-large-language-models 0 comments
Linked pages
- https://arxiv.org/abs/2108.07258 11 comments
- BigScience Research Workshop https://bigscience.huggingface.co 11 comments
- bigscience/bloom · Hugging Face https://huggingface.co/bigscience/bloom 4 comments
- isort https://pycqa.github.io/isort/ 0 comments
- [2209.01188] Petals: Collaborative Inference and Fine-tuning of Large Models https://arxiv.org/abs/2209.01188 0 comments