Prompting Techniques That Actually Work
•5 min read
Five prompting techniques that improve LLM outputs: few-shot learning, chain-of-thought reasoning, XML structure, output constraints, and prompt chaining.
Debugging LLMs: Understanding Attention, Tokens, and Context
•3 min read
When models fail or behave unexpectedly, you need to understand why. Practical debugging techniques for tokenization, attention patterns, and context limits.