Infrastructure Aware Algorithms
Ed discusses the cost-effectiveness and feasibility of large-scale machine learning assets, highlighting the advantages of the Disk Ann algorithm for approximate nearest neighbor searches. He emphasizes the importance of infrastructure awareness in this approach, sharing insights from real-world applications that reveal challenges not typically encountered in standard conversational AI scenarios. The conversation also touches on the evolving role of databases in enhancing retrieval-augmented generation processes.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - 664
Related Questions
How does Retrieval-Augmented Generation (RAG) technology work, as discussed in the episode The Real E2E RAG Stack // Sam Bean // #217 and the clip Transforming Unstructured Data?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?