The LLM Triangle - Engineering Principles for Robust AI Applications

Learn engineering principles for building robust, production-ready LLM applications through the LLM Triangle framework in this 26-minute conference talk. Discover how to overcome common challenges like hallucinations, inconsistency, and scalability issues that plague most LLM proof-of-concepts. Explore standard operating procedures for consistent LLM performance, strategic model selection that balances capability with cost considerations, and LLM-native architecture patterns designed for production environments. Master contextual data optimization techniques and examine real-world implementations that address typical pitfalls with innovative solutions. Gain actionable insights for transitioning LLM applications from experimental concepts to reliable, scalable production systems through practical strategies based on extensive industry experience.