Are you an engineer considering how to measure and observe you LLM empowered features in development or production? Or an Enterprise AI leader willing to take your LLM empowered business process automations finally into production? Join our webinar "Building an Optimal LLM Evaluation Stack" to learn how to create a robust framework for evaluating and optimizing large language models. Discover best practices, tools, and strategies to ensure your LLMs deliver optimal quality with minimum cost and latency.
• Common LLM automation failure modes
• Why LLM output evaluation is more complex than expected
• Overview of Objectives-Driven evaluation stack
• EvalOps: Optimizing LLMs in production
• Building and using evaluators effectively
• Automating business processes for measurable impact
• Common LLM automation failure modes
• Why LLM output evaluation is more complex than expected
• Overview of Objectives-Driven evaluation stack
• EvalOps: Optimizing LLMs in production
• Common LLM automation failure modes
• Why LLM output evaluation is more complex than expected
• Overview of Objectives-Driven evaluation stack
• EvalOps: Optimizing LLMs in production
• Common LLM automation failure modes
• Why LLM output evaluation is more complex than expected
• Overview of Objectives-Driven evaluation stack
• EvalOps: Optimizing LLMs in production
• Building and using evaluators effectively
• Automating business processes for measurable impact
An overview of key trends, challenges, and strategies guiding the responsible development and governance of large language models in the future.
A 15-minute Q&A where our experts will address your questions on EvalOps, LLM Evaluation, and key insights from today's session.
Founder & CEO at Root Signals
Co-founder & Head of AI at Root Signals
