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- llm-numbers: Numbers every LLM developer should know https://github.com/ray-project/llm-numbers 4 comments ai
- Numbers every LLM Developer should know https://github.com/ray-project/llm-numbers 5 comments artificial
Linking pages
- Emerging Architectures for LLM Applications | Andreessen Horowitz https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/ 95 comments
- Normcore LLM Reads · GitHub https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 52 comments
- Nibble #9 - by Pushkar Patel and Aashutosh Rathi https://thenibble.substack.com/p/09 0 comments
Linked pages
- Pricing https://openai.com/api/pricing/ 136 comments
- Pretrained Models — Sentence-Transformers documentation https://www.sbert.net/docs/pretrained_models.html#model-overview 12 comments
- Productionizing and scaling Python ML workloads simply | Ray https://ray.io 9 comments
- Jeff Dean - Wikipedia https://en.wikipedia.org/wiki/Jeff_Dean 3 comments
- Building an LLM open source search engine using LangChain and Ray https://www.anyscale.com/blog/llm-open-source-search-engine-langchain-ray 0 comments
- [2302.13971] LLaMA: Open and Efficient Foundation Language Models https://arxiv.org/abs/2302.13971 0 comments
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