Dive into a comprehensive 57-minute podcast exploring the cutting-edge developments in AI and LLM applications. Gain valuable insights on synthetic data's role in enhancing model behavior, prototyping, testing, and fine-tuning, as well as the latest methods for evaluating complex agent-based systems. Learn about RAG-based evaluations, dialog-level assessments, simulated user interactions, and adversarial models from Boris Selitser, Co-Founder and CTO/CPO of Okareo. Discover practical strategies for navigating challenges in AI development, including prompt injection protection, metrics for Jira agents, and optimizing routing agents. Explore the evolution of data, metrics, and agent frameworks, and understand how evaluation focus enhances AI systems. Gain valuable knowledge on customizing evaluations, leveraging synthetic data, and creating diverse agent personalities for improved AI readiness and value delivery.
Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development
Overview
Syllabus
[] Boris' preferred coffee
[] Takeaways
[] Please like, share, leave a review, and subscribe to our MLOps channels!
[] Software Engineering and Data Science
[] AI Transformative Potential Explained
[] Prompt Injection Protection Strategies
[] Agent's metrics for Jira
[] Data and Metrics Evolution
[] Evaluation Focus Enhances Systems
[31:22 - ] LatticeFlow AD
[] Custom Evaluation and Synthetic Data
[] Synthetic data for expansion, evaluation, and map
[] Diverse agents' personalities for readiness
[] Agent functions
[] Optimizing Routing Agents
[] Adapting to tool output for decision-making
[] Agent framework evolution
[] Agent framework for delivering value
[] Wrap up
Taught by
MLOps.community
