The podcast explores the implementation of CS50's AI-based virtual rubber duck using OpenAI's APIs. It details how CS50 leverages these APIs to create a chatbot that assists students with troubleshooting and debugging code. Rongxin Liu explains the system architecture, including prompt sanitization, PII anonymization, and prompt engineering techniques to guide the LLM. The discussion covers the use of chat completion, embeddings, and the Assistant API, including a demonstration of how to build a conversation chatbot. Retrieval Augmented Generation (RAG) is employed to inject relevant lecture captions into prompts, grounding the LLM and improving the accuracy of responses.
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