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- 16:30
Let's face it: most LLM App PoCs are a disaster waiting to happen. Hallucinations, inconsistency, and scalability nightmares abound. Enter the LLM Triangle - a framework for building reliable, production-ready AI systems.
I'll present the LLM Triangle Principles, a framework for building robust LLM-native applications. Based on extensive experience, I'll share key insights for bridging the gap between LLM potential and production-grade performance.
We'll explore:
- SOPs for consistent LLM performance
- Strategic model selection balancing capability and cost
- LLM-native architecture for production
- Contextual data optimization techniques
Using real-world implementations, we'll tackle common pitfalls and present innovative solutions. Senior engineers and tech leaders will gain actionable insights to elevate LLM applications from concept to production.
Join us to gain practical strategies for robust and scalable AI systems.
Almog Baku is an expert in building LLM applications, serving as a trusted advisor (Fractional CTO) to guide tech organizations through the entire development lifecycle. He founded GenAI Israel, the country's largest LLM community (5,000+ members). Almog's practical, engineering-focused approach has established him as a thought leader in real-world LLM applications.