An LLM app working in testing is great. Keeping it working when models change, users surprise you, and the system hits production is even better.
Tomorrow at Serverless Toronto, Serj Smorodinsky and Brett Kennedy will cover how to baseline performance, define what "good" means, and use
@DSPyOSS to optimize against measurable results.
They'll also get into model swaps, cost and privacy tradeoffs, and ongoing evaluation in production.
Join virtually Sept. 25th, 12–1:30 PM ET:
hubs.la/Q04y8f670
Check out their book, Building LLM Applications with DSPy:
hubs.la/Q04y8f680