How Agentic AI Architectures Power Medical Scientific Discovery | RL, Sub-Agents & Evaluation

Description

Unlock the secrets behind advanced agentic AI architectures driving the future of medical research! This video breaks down how multi-agent systems, scientific tools, structured data pipelines, reinforcement learning algorithms, and automated evaluation workflows come together to accelerate scientific discovery. Learn how autonomous sub-agents collaborate, train, and adapt in real-time, how performance is monitored with Weights & Biases and LangSmith, and why this pipeline matters for next-gen biomedical innovation. Subscribe to Bazai for more deep dives into AI, machine learning, and tech transformation! https://levelup.gitconnected.com/building-a-training-architecture-for-self-improving-ai-agents-c87a4e316b22