Hacker News
- Who is working on forward and backward compatibility for LLMs? https://huyenchip.com/2023/04/11/llm-engineering.html#backward_and_forward_compatibility 36 comments
- Building LLM Applications for Production https://huyenchip.com/2023/04/11/llm-engineering.html 96 comments
Lobsters
- Building LLM applications for production https://huyenchip.com/2023/04/11/llm-engineering.html 3 comments ai
Linking pages
- AI Canon | Andreessen Horowitz https://a16z.com/2023/05/25/ai-canon/ 219 comments
- Normcore LLM Reads · GitHub https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 52 comments
- Practical AI For App Makers | Drew Breunig https://www.dbreunig.com/2023/04/10/practical-ai-for-app-makers.html 5 comments
- MLOps guide https://huyenchip.com/mlops/ 3 comments
- Attacking AI Underneath the Prompt: LLMOps and Security – WebRauser https://webrauser.com/2023/06/03/attacking-ai-underneath-the-prompt-llmops-and-security/ 1 comment
- Subjective AI/ML Digest: April II - by Boris Tseitlin https://borisagain.substack.com/p/subjective-aiml-digest-april-ii 0 comments
- Running LLMs in the Browser with Rust + WebGPU https://fleetwood.dev/posts/running-llms-in-the-browser 0 comments
- GitHub - Mooler0410/LLMsPracticalGuide: A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers) https://github.com/Mooler0410/LLMsPracticalGuide 0 comments
- Replit - Replit AI Manifesto https://blog.replit.com/replit-ai-manifesto 0 comments
- Containerized PDF Summarizer with FastAPI and Hamilton https://blog.dagworks.io/p/containerized-pdf-summarizer-with 0 comments
- Web Pages and LLMs, a Match Made in Heaven https://engineering.hellojoko.com/posts/webpages-and-llms-a-match-made-in-heaven/ 0 comments
- GitHub - mburaksayici/FinancialAdvisorGPT: finsean https://github.com/mburaksayici/FinancialAdvisorGPT 0 comments
Linked pages
- openai-cookbook/techniques_to_improve_reliability.md at main · openai/openai-cookbook · GitHub https://github.com/openai/openai-cookbook/blob/main/techniques_to_improve_reliability.md 61 comments
- Prompt Engineering | Lil'Log https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ 59 comments
- Introducing Socket AI – ChatGPT-Powered Threat Analysis - Socket https://socket.dev/blog/introducing-socket-ai-chatgpt-powered-threat-analysis 47 comments
- Can AI code Flappy Bird? Watch ChatGPT try - YouTube https://youtu.be/8y7GRYaYYQg 34 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- GitHub - tensorflow/tensorflow: An Open Source Machine Learning Framework for Everyone https://github.com/tensorflow/tensorflow 5 comments
- [2103.08493] How Many Data Points is a Prompt Worth? https://arxiv.org/abs/2103.08493 3 comments
- Sharif Shameem on Twitter: "I just built a *functioning* React app by describing what I wanted to GPT-3. I'm still in awe. https://t.co/UUKSYz2NJO" / Twitter https://twitter.com/sharifshameem/status/1284095222939451393 2 comments
- michelle huang on Twitter: "i trained an ai chatbot on my childhood journal entries - so that i could engage in real-time dialogue with my "inner child" some reflections below:" / Twitter https://twitter.com/michellehuang42/status/1597005489413713921 2 comments
- GitHub - tatsu-lab/stanford_alpaca https://github.com/tatsu-lab/stanford_alpaca 2 comments
- GitHub - openai/chatgpt-retrieval-plugin https://github.com/openai/chatgpt-retrieval-plugin 2 comments
- [2201.11903] Chain of Thought Prompting Elicits Reasoning in Large Language Models https://arxiv.org/abs/2201.11903 1 comment
- [2104.08691] The Power of Scale for Parameter-Efficient Prompt Tuning https://arxiv.org/abs/2104.08691 1 comment
- OpenAI GPT-3 Text Embeddings - Really a new state-of-the-art in dense text embeddings? | by Nils Reimers | Medium https://medium.com/@nils_reimers/openai-gpt-3-text-embeddings-really-a-new-state-of-the-art-in-dense-text-embeddings-6571fe3ec9d9 1 comment
- Poe - The Quora Blog - Quora https://quorablog.quora.com/Poe-1 0 comments
- [2211.01910] Large Language Models Are Human-Level Prompt Engineers https://arxiv.org/abs/2211.01910 0 comments
Would you like to stay up to date with Computer science? Checkout Computer science
Weekly.
Related searches:
Search whole site: site:huyenchip.com
Search title: Building LLM applications for production
See how to search.