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Discover how to transform LLMs into powerful agentic systems. Starting with LLM fundamentals, you'll learn to build single agents with tools, then advance to developing a coordinated multi-agent system that can perform financial research, analysis, and visualization tasks.

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Featuring ODSC Europe On-Demand Sessions + MORE

Video of the Month

Reinforcement Learning with Human Feedback

with Luis Serrano

Discover how Reinforcement Learning with Human Feedback (RLHF) is transforming the training of large language models! In this insightful talk, Luis Serrano, PhD, breaks down the fundamentals of reinforcement learning and explores cutting-edge techniques like Proximal Policy Optimization (PPO) and Direct Preference Optimization (DPO). Learn how human feedback refines AI models to improve text generation, making this an essential watch for those interested in machine learning and NLP.

Understanding the Core Limitations of Large Language Models

Insights from Gary Marcus

odsc.com/blog

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