Day 3

Day 3 of 1% Better.

Today, I spent time understanding context engineering.

1. Context engineering is about deciding what information an AI model should have before it responds not just writing better prompts.

2. Context includes the information the model sees instructions, past messages, tools, documents, and data.

3. Too much irrelevant context can confuse the model and lower answer quality.

4. The goal is to give the model the right information at the right time, not everything at once.

5. Too little context leaves the model without enough information, while too much irrelevant context can reduce answer quality and increase costs.

6. One thing that surprised me prompt engineering is only one part of the picture. Building reliable AI applications increasingly depends on how well you manage context.

🔗 Resources - https://lnkd.in/gjwd95rx