Practical AI: Machine Learning, Data Science, LLM Changelog Media

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.

In the midst of the demos & discussion about OpenAI's GPT-4o voice assistant, Kyutai swooped in to release the *first* real-time AI voice assistant model and a pretty slick demo (Moshi). Chris & Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner's ranking of GenAI on their hype cycle.

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone's vector database, designed to facilitate efficient storage, retrieval, and management of vector data.

We've had representatives from Stanford's Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent _Apple Intelligence_ announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity's sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity's approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.