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Learn how to build reliable APIs with Large Language Models in this 47-minute conference talk from MLCon. Pieter Buteneers shares crucial insights from real-world experience, demonstrating techniques to minimize hallucinations and ensure consistent outputs when working with models like ChatGPT. Discover practical strategies for transforming any prompt into a production-ready API function that delivers stable results. The presentation covers essential methods for enforcing reliability in LLM implementations, making it valuable for developers and engineers looking to deploy these powerful models in professional environments.
