掌握大型语言模型 - 无代码快速工程
- 1. Introduction to Large Language Models (LLMs)
- 1. Introduction
- 2. What are Large Language Models
- 3. Evolution of Language Models
- 4. Applications of LLMs
- 2. Understanding LLMs
- 1. What is Prompt What is Prompt Engineering
- 2. Architecture of LLMs
- 3. What are Tokens
- 4. Adjusting LLM Parameters
- 5. Temperature
- 6. Top-p
- 7. Max Tokens
- 8. Top-k and Other Parameters
- 3. Prompt Development and Prompt Engineering
- 1. Iterative Process of Prompt Development
- 2. Prompt Structure and Roles
- 3. Strategies for Effective Prompt Engineering
- 4. Advanced Customization Techniques
- 1. Advanced Prompt Development Strategies
- 2. Fine-Tuning LLMs
- 3. Retrieval-Augmented Generation (RAG)
- 5. Ethical Considerations in LLM Integration
- 1. Ethical Challenges and Biases
- 2. Responsible Use of LLMs
- 6. Use Cases and Applications
- 1. Data Analytics
- 2. Customer Support
- 3. Drafting Enterprise Documents (RFP, SOP, EOI, NCR, NDA, ...)
- 4. Content Creation and SEO
- 5. Programming and Coding
- 7. Benchmarking LLMs and Prompt Engineering Platforms
- 1. Choose a model that's right for you
- 2. Prompt Engineering Platforms
- 8. Future Trends in LLMs
- 1. Future Trends in LLMs
- 2. Closing Note