Explore five crucial lessons learned from deploying Large Language Models (LLMs) in production environments in this insightful conference talk by Raza Habib, CEO and Co-founder of Humanloop. Gain valuable insights into common pitfalls and emerging best practices for implementing LLMs effectively. Discover case studies from hundreds of companies that have transitioned from experimental to production stages, and learn how to navigate the rapidly evolving landscape of AI technology. Benefit from Habib's extensive experience in AI, including his work at Google AI and as the founding engineer of Monolith AI. Understand how to plan and optimize your LLM implementations while considering performance and cost factors. This talk is essential for developers, AI practitioners, and business leaders looking to harness the power of large language models in real-world applications.
Pitfalls and Best Practices - 5 Lessons from LLMs in Production
Overview
Syllabus
Pitfalls and Best Practices — 5 lessons from LLMs in Production // Raza Habib // LLMs in Prod Con 2
Taught by
MLOps.community
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