大型语言模型的非技术介绍
Non-technical Introduction to Large Language Models
- 1. Introduction
- 1. Introduction
- 2. What is a Large Language Model
- 1. Defining Large Language Models
- 2. A Large Language Model in a Diagram
- 3. How Large Language Models work
- 3. Important Terminologies
- 1. Context Length
- 2. Dataset
- 3. Fine-tuning
- 4. Hallucinations
- 5. LoRA and QLoRA
- 6. Quantization
- 7. Foundation Model
- 4. How LLMs are trained
- 1. How Large Language Models are Trained
- 2. Alpaca Model with Synthetic Data
- 5. What are some examples of Large Language Models
- 1. Primary types of Large Language Models
- 2. Proprietary vs Open Source
- 6. Different use cases of LLMs
- 1. Creating Documentation
- 2. Coding
- 3. Coding - More advanced
- 4. Writing a story
- 7. Finetuning an LLM using custom dataset
- 1. Offline applications you can use
- 2. Fine-tuning a Large Language Model Part 1
- 3. Fine-tuning a Large Language Model Part 2
- 8. End note
- 1. What's next