Hacker News
- Prompt Engineering: Steer a large pretrained language model to do what you want https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ 49 comments
- [News] Prompt engineering blog from OpenAI applied AI head https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ 10 comments machinelearning
Linking pages
- LLM Powered Autonomous Agents | Lil'Log https://lilianweng.github.io/posts/2023-06-23-agent/ 177 comments
- What We Know About LLMs (Primer) https://willthompson.name/what-we-know-about-llms-primer 164 comments
- Building LLM applications for production https://huyenchip.com/2023/04/11/llm-engineering.html 136 comments
- Normcore LLM Reads · GitHub https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 52 comments
- “It worked when I prompted it” or the challenges of building an LLM Product https://open.substack.com/pub/tinyml/p/it-worked-when-i-prompted-it-or-the 3 comments
- GitHub - maxwell-bland/automatic-exploit-generation-llms: How to perform automatic exploit generation using GPT4 / LLMs. https://github.com/maxwell-bland/automatic-exploit-generation-llms 1 comment
- Emergent Abilities of LLMs 🪴 https://willthompson.name/emergent-abilities-of-llms 1 comment
- GitHub - maxwell-bland/automatic-exploit-generation-chatgpt: How to perform automatic exploit generation using ChatGPT. https://github.com/maxwell-bland/automatic-exploit-generation-chatgpt 0 comments
- “It worked when I prompted it” or the challenges of building an LLM Product https://tinyml.substack.com/p/it-worked-when-i-prompted-it-or-the 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
- Modern AI is Domestification https://thegradient.pub/ai-is-domestification/ 0 comments
- GitHub - filipecalegario/awesome-generative-ai: A curated list of Generative AI tools, works, models, and references https://github.com/filipecalegario/awesome-generative-ai 0 comments
- The Developer Experience for Building with AI https://bytesizedai.substack.com/p/the-developer-experience-for-building 0 comments
- Adversarial Attacks on LLMs | Lil'Log https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/ 0 comments
- Steering Large Language Models with Pydantic - Pydantic Blog https://blog.pydantic.dev/blog/2024/01/04/steering-large-language-models-with-pydantic/ 0 comments
- Emergent Abilities of LLMs 🪴 https://willthompson.name/emergent-abilities-of-llms?twclid=2-2idcp21yniy3x9291jd983b3o 0 comments
- Extrinsic Hallucinations in LLMs | Lil'Log https://lilianweng.github.io/posts/2024-07-07-hallucination/ 0 comments
- GitHub - finxter/AI-Engineering-Learning-Resources https://github.com/finxter/AI-Engineering-Learning-Resources 0 comments
- (Opinionated) Guide to ML Engineer Job Hunting | Yuan Meng https://www.yuan-meng.com/posts/mle_interviews/ 0 comments
Linked pages
- [2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools https://arxiv.org/abs/2302.04761 153 comments
- GitHub - dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering https://github.com/dair-ai/Prompt-Engineering-Guide 149 comments
- PromptPerfect - Elevate your prompts to perfection https://promptperfect.jina.ai/ 56 comments
- [2205.11916] Large Language Models are Zero-Shot Reasoners https://arxiv.org/abs/2205.11916 55 comments
- GitHub - openai/openai-cookbook: Examples and guides for using the OpenAI API https://github.com/openai/openai-cookbook 54 comments
- New and Improved Embedding Model https://openai.com/blog/new-and-improved-embedding-model/ 48 comments
- The Transformer Family Version 2.0 | Lil'Log https://lilianweng.github.io/posts/2023-01-27-the-transformer-family-v2/ 46 comments
- GitHub - microsoft/semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps https://github.com/microsoft/semantic-kernel 15 comments
- Contrastive Representation Learning | Lil'Log https://lilianweng.github.io/posts/2021-05-31-contrastive/ 10 comments
- A (Long) Peek into Reinforcement Learning | Lil'Log https://lilianweng.github.io/posts/2018-02-19-rl-overview/ 8 comments
- OpenAI Platform https://platform.openai.com/docs/guides/embeddings 7 comments
- [2203.14465] STaR: Bootstrapping Reasoning With Reasoning https://arxiv.org/abs/2203.14465 5 comments
- [1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks https://arxiv.org/abs/1908.10084 5 comments
- [2210.03629] ReAct: Synergizing Reasoning and Acting in Language Models https://arxiv.org/abs/2210.03629#google 3 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
- Welcome | Learn Prompting https://learnprompting.org/docs/intro 1 comment
- Aligning language models to follow instructions https://openai.com/research/instruction-following 1 comment
- [2102.09690] Calibrate Before Use: Improving Few-Shot Performance of Language Models https://arxiv.org/abs/2102.09690 0 comments
- [2103.10385] GPT Understands, Too https://arxiv.org/abs/2103.10385 0 comments
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