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In his Ignite talk at AppDev Field Day, Calvin Hendryx-Parker, CTO and co-founder of Six Feet Up, describes the process he uses to built AI applications, particularly focusing on data quality and management. He discusses the use of retrieval augmented generation for enhancing chatbot functionalities, emphasizing how poor data quality often hampers AI effectiveness. Calvin showcases a live code demonstration where he extracts and utilizes data from a poorly structured conference website to create a chatbot capable of providing specific, accurate information about the event. He explains the integration of various AI tools, including OpenAI’s Embeddings API and a VectorDB, to handle and improve data interaction for AI applications, highlighting the importance of structured data in AI efficiency and reliability.
Personnel: Calvin Hendryx-Parker
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