Practical AI: Machine Learning, Data Science, LLM Changelog Media
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- Technology
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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
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Hyperventilating over the Gartner AI Hype Cycle
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.
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The first real-time voice assistant
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.
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Vectoring in on Pinecone
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.
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Stanford's AI Index Report 2024
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.
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Apple Intelligence & Advanced RAG
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.
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The perplexities of information retrieval
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.
Customer Reviews
Language used was inappropriate
I love the podcast that Daniel and Chris produce. When I am in the car I like my 9 year old also listen to it. Recently AI vs devs that is not hosted by Daniel and Chris had an inappropriate language used. It would be nice to warn upfront so that I would not listen with my daughter. Thanks
Six Stars - Relevant, Insightful & Helpful
IMO the best operator-focused AI/LLM podcast.
Pretty good, but Daniel needs to stop saying “like”
Honestly, I’m no Boomer, but the “like” thing really has to stop, and I say that with peach and love. It’s off-putting to the more professional listeners and just not a good look in general. You can still be engaging and entertaining. I’d point to your guest Travis Fischer as a really good example to follow. An example NOT to follow was Erin Mikail Staples. While her info was valuable, she was absolutely unlistenable. It was really a chore to get through that show. Cringe barely begins to describe it.