Explore strategies for assessing Large Language Models (LLMs) in real-world applications to unlock reliable Generative AI. Delve into the limitations of current evaluation methods and discover practical solutions to enhance GenAI application performance. Learn innovative techniques for rapid iteration and leveraging human feedback to ensure safer operations. Understand the importance of using other LLMs in scaling evaluation frameworks. Gain insights from Dhruv Singh, Co-founder & CTO of HoneyHive, as he shares his expertise on boosting LLM reliability and implementing effective evaluation pipelines for GenAI applications.
Unlocking Reliable GenAI - Strategies for Assessing LLMs in Real-World Applications
Data Council via YouTube
Overview
Syllabus
Unlocking Reliable GenAI: Strategies for Assessing LLMs in Real-World Applications
Taught by
Data Council