Gain a foundational understanding of Large Language Models (LLMs). Explore their core mechanics, differences between model versions, reasoning techniques, context management, and practical methods to control conversations for more effective interactions.
Overview
Syllabus
- Unit 1: How LLMs Generate Text: Predicting the Next Token
- Exploring AWS with LibreChat
- Modifying Prompts for Better Responses
- Exploring Model Responses in LibreChat
- Model Response Exploration
- Unit 2: Understanding Model Versions
- Exploring Model Date Responses
- Exploring iPhone 17 with LLMs
- Comparing Model Date Responses
- Unit 3: Understanding Reasoning Models: Guiding LLMs to Think Step by Step
- Guiding Models with CoT
- Exploring Reasoning with Prime Numbers
- Comparing Model Brainstorming Approaches
- Unit 4: Understanding Context Windows: Managing Input and Output Sizes
- Exploring Limits
- Improving Emails with Context Windows
- Summarizing Meeting Transcriptions Efficiently
- Summarizing Articles in Parts
- Unit 5: Editing Messages to Refine LLM Responses
- Refining LLM Responses with Edits
- Editing LLM Responses for Consistency
- Editing LLM Responses for Impact