Config-Based Development for LLMs: Versioning, Routing, and Evaluating LLMs

Explore config-based development for Large Language Models (LLMs) in this 47-minute talk by Sarmad, CEO of LastMile AI. Learn how engineering teams can successfully transition Generative AI applications from prototype to production using open-source and remote LLMs. Discover the power of managing AI prompts and model generation settings as JSON-serializable configs, enabling version control, evaluation, and rapid prototyping. Delve into the structure of JSON-serializable configs and their application in managing AI prompts and model generation settings. Understand the importance of version control systems for better tracking and management of LLM changes. Explore AIConfig, an open-source framework that enhances collaboration, strengthens governance, and ensures reproducibility in LLM development. Gain valuable insights from LLMOps Space, a global community for LLM practitioners focused on deploying LLMs into production.

Config-Based Development for LLMs: Versioning, Routing, & Evaluating LLMs | LLMOps