2

Understanding Transformers: The Brain Behind LLMs

3

Tokenization: How LLMs See Your Text

4

Temperature, Top-P, and Frequency Penalties

5

Temperature, Top-P, and Frequency Penalties Part 2

6

Zero-Shot vs Few-Shot Prompting

7

Chain of Thought (CoT) and Step-by-Step Reasoning

8

Chain of Thought (CoT) and Step-by-Step Reasoning Part 2

9

System Prompts vs User Prompts

10

Using OpenAI and Anthropic Python SDKs

11

Using OpenAI and Anthropic Python SDKs Part 2

12

Streaming Responses: Real-Time LLM Output

13

Streaming Responses: Real-Time LLM Output Part 2

14

Using Pydantic to Define Strict Data Schemas

15

Testing LLM Applications

16

Building Retry Loops for LLM Output Errors

17

DSPy -- Programmatic Prompt Optimization

18

Capstone — Build a Structured Data Extraction Pipeline

Capstone