Advancing Transformer Technology
David discusses the limitations of current context window sizes in transformer models like GPT-4 and the need for new technologies like vector databases to extract information from the distant past. He explores the potential of applying attention mechanisms to concepts rather than words for more efficient information retrieval.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Future of Generative AI [David Foster]
Related Questions
What do you know about embedding in vector databases in the context of the episode Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - 701 and the clip Vector Database Insights?
What do you know about embedding in vector databases in the context of the episode "Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - 701" and the clip "Vector Database Insights"?
What do you know about embedding in vector databases in the context of the episode Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - 701 and the clip Vector Database Insights?