Richmond Alake

Expert, Richmond Alake, and Nicolay discuss building AI agents, prompt compression, memory strategies, and experimentation techniques. They highlight prompt compression for cost reduction, memory management components, performance optimization, prompting techniques like ReAct, and the importance of continuous experimentation in the AI field.

Richmond Alake, Machine Learning Architect at Slalom Build, discusses his startups, podcasting, and new course on feature stores. He emphasizes the importance of writing for data scientists and shares insights on building real-time ML applications, developing AI companions, and investing in MLOps. The episode covers his use of tools like Databricks, Kinesis, and Swift programming for ML production.