Difference between revisions of "AI tricks"
KevinYager (talk | contribs) (Created page with "=Prompt Engineering= ==In-Context Learning== * [https://arxiv.org/abs/2005.14165 Language Models are Few-Shot Learners] ==Chain of Thought (CoT)== "Let's think step-by-step"...") |
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=Prompt Engineering= | =Prompt Engineering= | ||
| + | * 2025-03: [https://arxiv.org/abs/2503.04818 Prompting Science Report 1: Prompt Engineering is Complicated and Contingent] | ||
| + | * 2024-06: [https://arxiv.org/abs/2406.06608 The Prompt Report: A Systematic Survey of Prompting Techniques] | ||
| + | |||
==In-Context Learning== | ==In-Context Learning== | ||
* [https://arxiv.org/abs/2005.14165 Language Models are Few-Shot Learners] | * [https://arxiv.org/abs/2005.14165 Language Models are Few-Shot Learners] | ||
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==Retrieval-Augmented Generation (RAG)== | ==Retrieval-Augmented Generation (RAG)== | ||
* [https://arxiv.org/abs/2005.11401 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks] | * [https://arxiv.org/abs/2005.11401 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks] | ||
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| + | =Generation= | ||
| + | * [https://github.com/Zhen-Tan-dmml/LLM4Annotation Large Language Models for Data Annotation and Synthesis: A Survey] | ||
Latest revision as of 08:11, 17 April 2025
Contents
Prompt Engineering
- 2025-03: Prompting Science Report 1: Prompt Engineering is Complicated and Contingent
- 2024-06: The Prompt Report: A Systematic Survey of Prompting Techniques
In-Context Learning
Chain of Thought (CoT)
"Let's think step-by-step"
Multi-step
Tool-use, feedback, agentic
