Linking pages
- 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
- Can We Prevent LLMs From Hallucinating? - Brett DiDonato https://brettdidonato.substack.com/p/can-we-prevent-llms-from-hallucinating 1 comment
- Maximizing the Utility of Large Language Models (LLMs) through Prompting https://www.infoq.com/articles/large-language-models-llms-prompting/ 0 comments
- When Words Cannot Describe: Designing For AI Beyond Conversational Interfaces — Smashing Magazine https://www.smashingmagazine.com/2024/02/designing-ai-beyond-conversational-interfaces/ 0 comments
- GitHub - finxter/AI-Engineering-Learning-Resources https://github.com/finxter/AI-Engineering-Learning-Resources 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- [2201.11903] Chain of Thought Prompting Elicits Reasoning in Large Language Models https://arxiv.org/abs/2201.11903 1 comment
- [2001.08361] Scaling Laws for Neural Language Models https://arxiv.org/abs/2001.08361 0 comments
- [2202.12837] Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? https://arxiv.org/abs/2202.12837 0 comments
- https://arxiv.org/pdf/2302.13971.pdf 0 comments
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