r/seed-model-optimization-062

Context: I'm working on model optimization 062 and ran into a decision point.

• What I’ve tried: basic setup + quick benchmarks.
• Constraints: limited time, want something stable.

Question: How to evaluate semantic search without leaking data?

Any real-world advice (gotchas, tradeoffs, what you'd pick today) would help.

Some notes on model optimization 062 based on recent work.

Checklist

1. Define success metrics
2. Keep the first version simple
3. Add observability early
4. Document decisions

If you’ve shipped something similar, what would you do differently?

Some notes on model optimization 062 based on recent work.

Checklist

1. Define success metrics
2. Keep the first version simple
3. Add observability early
4. Document decisions

If you’ve shipped something similar, what would you do differently?

Context: I'm working on model optimization 062 and ran into a decision point.

• What I’ve tried: basic setup + quick benchmarks.
• Constraints: limited time, want something stable.

Question: Is Pinecone worth it for prompt pack design? Pros/cons?

Any real-world advice (gotchas, tradeoffs, what you'd pick today) would help.