Benjamin Batorsky
Ben is the Responsible AI Lead at Philips, working on building AI governance tools and policies. Previously, he led data science teams in academia, industry and government. He has focused primarily on language technology and has delivered tutorials and designed classes on LLMs and agent development. He contributes to the larger data science community through independent projects and leading the PyData Boston chapter.
Session
Through the construction of a Deep Research Agent, tutorial participants will learn the fundamental building blocks of LLM-driven applications. Starting with in-context learning and prompt design, we will progress through memory management, tool integration via the Model Context Protocol (MCP), and planning workflows. Participants will build a working agent that can query a Zotero citation library, synthesize literature summaries, and engage in multi-turn research conversations. We will also discuss failure modes, limitations, and the role of such agents in an age of coding assistants.
Installation Instructions: https://github.com/ericmjl/build-deep-research-agent/