Alan Feder - RAGtime in the Big Apple: Chat with a Decade of NYR Talks 

RAGtime in the Big Apple: Chat with a Decade of NYR Talks by Alan Feber
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Abstract: As the adoption of Large Language Models (LLMs) like ChatGPT has increased over the past year, there's been a growing excitement about using these technologies to query existing documents and datasets. However, training your own LLM chatbot from scratch is impossible for everyone except the largest tech companies. Retrieval-Augmented Generation (RAG) is a versatile method for addressing these challenges. I will show how this works with a live demo exploring the past 10 years of NYR talks.
Bio: Alan Feder is a seasoned data scientist with over a decade of experience in machine learning, artificial intelligence, and statistics. As a freelance consultant, he specializes in building cutting-edge solutions, including Retrieval-Augmented Generation (RAG) systems and other Large Language Model (LLM) based tools, for clients across diverse industries. Outside of work, Alan enjoys spending time with his wife and two children at their home outside of Washington, DC.
Twitter: / alanfeder
Presented at the 2024 New York R Conference (May 16, 2024)
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