How Do You Know If Your LLM Context Is Actually Good?

Big context does not automatically mean good context.

A lot of LLM failures come from bad context quality:
too much noise, too much redundancy, and missing key facts.

In this short, I break down a simple practical checklist for evaluating context quality.

Bad context is:
• noisy
• redundant
• missing critical information

Good context is:
• relevant
• ordered
• compressed
• grounded

Simple rule:
context quality matters more than context size.

#ai #llm #rag #contextengineering #promptengineering

Видео How Do You Know If Your LLM Context Is Actually Good? канала Dev Alpha Lab