Conversational Systems
Agents capable of coherent, multi-turn dialogue that track context, maintain memory, and invoke external tools and APIs.
A code-first course on building conversational and agentic systems with large language models. Part of the Hands-on AI Science series, designed around Innovation-First Learning principles.
Agents capable of coherent, multi-turn dialogue that track context, maintain memory, and invoke external tools and APIs.
Pretrained models that understand and generate language, replacing many task-specific algorithms with a single fine-tunable architecture.
Students begin projects early and enrich them with new concepts throughout the course, with iterative in-class presentations and feedback.