Dexa/Unsupervised Learning

Cutting-Edge Search Techniques

Jacob and Patrick discuss the evolution of vector search techniques, the future complexity of search retrieval, and the progression towards artificial general intelligence. They delve into the inner and outer loops of development, emphasizing the impact of continuous testing on product improvement.

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Unsupervised Learning
Ep 33: CTO and Co-Founder of Sourcegraph on Current Landscape and Future of Software Development, How to Make RAG Better, and Building Towards the Agentic Future
Related Questions
- I have a question about the episode Found: Getting realistic about AI’s potential with Nick Frosst from Cohere and the clip AI Evolution Explained. I also have a question about the episode ChatGPT and the Dawn of Computerized Hyper-Intelligence | Brian Roemmele | EP 357 and the clip AI Research Insights. Will large language models scale all the way to artificial general intelligence (AGI) as discussed in the episode MEGATHREAT: The Dangers Of AI Are WEIRDER Than You Think! | Yoshua Bengio and the clip Neural Networks Explained?