DecryptPrompt and prompt-engineering

DecryptPrompt
51
Established
prompt-engineering
39
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 8/25
Community 20/25
Maintenance 6/25
Adoption 8/25
Maturity 15/25
Community 10/25
Stars: 3,366
Forks: 319
Downloads:
Commits (30d): 4
Language:
License:
Stars: 51
Forks: 5
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
No License No Package No Dependents
No Package No Dependents

About DecryptPrompt

DSXiangLi/DecryptPrompt

总结Prompt&LLM论文,开源数据&模型,AIGC应用

This project offers a comprehensive guide and curated resources for understanding and implementing advanced techniques in large language models (LLMs). It provides deep dives into prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent design through a series of detailed articles. Practitioners in AI/ML, researchers, and engineers who are building or optimizing LLM-powered applications will find this resource invaluable for keeping up with the latest advancements.

Large Language Models Prompt Engineering AI Agents Retrieval-Augmented Generation Machine Learning Research

About prompt-engineering

1Haschwalth/prompt-engineering

自撰作品《AI精准操作手册:从Prompt工程到认知导航》(AI Precision Operations Manual: From Prompt Engineering to Cognitive Navigation)

This manual teaches you how to get precise and desired results when using AI large language models. By understanding how to structure your prompts effectively, you can input clear instructions and receive accurate, tailored outputs, making AI a more powerful tool for your daily tasks. It's for anyone who uses AI assistants and wants to improve their efficiency and the quality of AI-generated content.

AI interaction content generation digital assistant workflow knowledge worker productivity AI strategy

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