This session will walk through a tutorial created by the team at Weights & Biases which covers the creation of a Q&A bot for the Gradient Dissent podcast using GPT-3.5-turbo, LangChain, and OpenAI embeddings. Topics include data collection, episode summarization, extracting potential questions, creating embeddings for efficient information retrieval, and developing the bot using Gradio. Additionally, the session will demonstrate the integration of Weights & Biases Prompts for visualizing and inspecting LLM operations.