Hacker News
- Anti-AI Hype LLM Reading List https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 52 comments
Linking pages
- GitHub - oscinis-com/Awesome-LLM-Productization: Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization https://github.com/oscinis-com/Awesome-LLM-Productization 1 comment
- Why Voice Failed as a Platform - by Dustin Coates https://talkingtocomputers.substack.com/p/why-voice-failed-as-a-platform 0 comments
- GitHub - nlpfromscratch/nlp-llms-resources: Master list of curated resources on NLP and LLMs https://github.com/nlpfromscratch/nlp-llms-resources 0 comments
Linked pages
- What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ 1074 comments
- How is LLaMa.cpp possible? https://finbarr.ca/how-is-llama-cpp-possible/ 227 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Why Chatbots Are Not the Future of Interfaces https://wattenberger.com/thoughts/boo-chatbots 158 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Building LLM applications for production https://huyenchip.com/2023/04/11/llm-engineering.html 136 comments
- Why host your own LLM? http://marble.onl/posts/why_host_your_own_llm.html 134 comments
- All the Hard Stuff Nobody Talks About when Building Products with LLMs | Honeycomb https://www.honeycomb.io/blog/hard-stuff-nobody-talks-about-llm 126 comments
- GitHub - ray-project/llm-numbers: Numbers every LLM developer should know https://github.com/ray-project/llm-numbers 113 comments
- https://e2eml.school/transformers.html 68 comments
- Scaling Kubernetes to 7,500 nodes https://openai.com/research/scaling-kubernetes-to-7500-nodes 68 comments
- Replit - How to train your own Large Language Models https://blog.replit.com/llm-training 60 comments
- Prompt Engineering | Lil'Log https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ 59 comments
- What are embeddings? https://vickiboykis.com/what_are_embeddings/ 52 comments
- Catching up on the weird world of LLMs https://simonwillison.net/2023/Aug/3/weird-world-of-llms/ 40 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
- Introduction to Deep Learning https://sebastianraschka.com/blog/2021/dl-course.html 19 comments
- Scaling the Instagram Explore recommendations system - Engineering at Meta https://engineering.fb.com/2023/08/09/ml-applications/scaling-instagram-explore-recommendations-system/ 6 comments
- Large Language Models and Nearest Neighbors https://magazine.sebastianraschka.com/p/large-language-models-and-nearest 4 comments
- [2303.18223] A Survey of Large Language Models https://arxiv.org/abs/2303.18223 3 comments
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