Recent Episodes
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Orchestrating agents, APIs, and MCP servers
Apr 14, 2025 – 42:52 -
Software and hardware acceleration with Groq
Apr 2, 2025 – 43:24 -
AI-assisted coding with GitHub's COO
Mar 21, 2025 – 50:04 -
Optimizing for efficiency with IBM’s Granite
Mar 14, 2025 – 43:38 -
Build a workspace of AI agents
Mar 8, 2025 – 47:39 -
GenAI hot takes and bad use cases
Feb 24, 2025 – 30:36 -
Tool calling and agents
Feb 14, 2025 – 45:00 -
Deep-dive into DeepSeek
Jan 31, 2025 – 50:47 -
Video generation with realistic motion
Jan 23, 2025 – 45:09 -
Mozart to Megadeth at CHRP
Dec 19, 2024 – 53:53 -
Sidekick is an AI Shopify expert
Dec 11, 2024 – 51:37 -
Full-duplex, real-time dialogue with Kyutai
Dec 4, 2024 – 50:03 -
Clones, commerce & campaigns
Nov 29, 2024 – 53:11 -
scikit-learn & data science you own
Nov 19, 2024 – 52:02 -
Creating tested, reliable AI applications
Nov 13, 2024 – 50:07 -
AI is changing the cybersecurity threat landscape
Nov 5, 2024 – 55:23 -
The path towards trustworthy AI
Oct 29, 2024 – 51:44 -
Big data is dead, analytics is alive
Oct 24, 2024 – 50:19 -
Practical workflow orchestration
Oct 15, 2024 – 58:24 -
Towards high-quality (maybe synthetic) datasets
Oct 9, 2024 – 57:02 -
Understanding what's possible, doable & scalable
Oct 3, 2024 – 01:02:21 -
GraphRAG (beyond the hype)
Sep 25, 2024 – 55:02 -
Pausing to think about scikit-learn & OpenAI o1
Sep 17, 2024 – 50:10 -
Cybersecurity in the GenAI age
Sep 11, 2024 – 51:34 -
AI is more than GenAI
Sep 5, 2024 – 40:03 -
Metrics Driven Development
Aug 29, 2024 – 42:12 -
Threat modeling LLM apps
Aug 22, 2024 – 54:38 -
Only as good as the data
Aug 14, 2024 – 45:41 -
Gaudi processors & Intel's AI portfolio
Aug 7, 2024 – 46:28 -
Broccoli AI at its best 🥦
Jul 31, 2024 – 42:31 -
Hyperventilating over the Gartner AI Hype Cycle
Jul 24, 2024 – 55:09 -
The first real-time voice assistant
Jul 18, 2024 – 43:21 -
Vectoring in on Pinecone
Jul 10, 2024 – 44:11 -
Stanford's AI Index Report 2024
Jul 2, 2024 – 47:04 -
Apple Intelligence & Advanced RAG
Jun 25, 2024 – 45:06 -
The perplexities of information retrieval
Jun 19, 2024 – 46:06 -
Using edge models to find sensitive data
Jun 13, 2024 – 38:28 -
Rise of the AI PC & local LLMs
Jun 4, 2024 – 35:35 -
AI in the U.S. Congress
May 29, 2024 – 40:48 -
First impressions of GPT-4o
May 21, 2024 – 43:28 -
Full-stack approach for effective AI agents
May 15, 2024 – 47:02 -
Autonomous fighter jets?!
May 8, 2024 – 41:11 -
Private, open source chat UIs
Apr 30, 2024 – 38:25 -
Mamba & Jamba
Apr 24, 2024 – 41:13 -
Udio & the age of multi-modal AI
Apr 16, 2024 – 38:52 -
RAG continues to rise
Apr 10, 2024 – 48:19 -
Should kids still learn to code?
Apr 2, 2024 – 39:20 -
AI vs software devs
Mar 26, 2024 – 57:00 -
Prompting the future
Mar 20, 2024 – 45:59 -
Generating the future of art & entertainment
Mar 12, 2024 – 42:06
Recent Reviews
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KlangurteilSix Stars - Relevant, Insightful & HelpfulIMO the best operator-focused AI/LLM podcast.
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Iphone Lover 2008Language used was inappropriateI 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
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Dean SharmaLoving itGreat content for people looking for pointers to different areas of generative AI.
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Mikoo231Your Essential Tool for AI MasteryIf you're searching for an AI podcast that does more than just report the news, "Practical AI" is an absolute must-listen! As an AI consultant myself, I've found immense value in its insightful content that goes far beyond what typical AI podcasts offer. With a unique blend of hands-on advice and expert perspectives, this podcast equips you with knowledge that you can directly apply in your professional journey. For those immersed in the world of AI, "Practical AI" serves not just as a source of information, but as a tool for growth and advancement. Give it a listen, and let it transform your understanding of AI!
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GOPGamblerNot great for the laymanI wanted to like this podcast since it seemed to be geared toward the layman. But unfortunately, it way too jargony and, like so many experts, the host understands stands the concepts well, but does not know how to communicate them clearly to people who do not share his background in the material. One example is the mini-series on p values where as best I can tell, he never actually defines the p value at all. While I appreciate the hosts efforts to try and bring this information to the public, it is not working for me.
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Sad_TruthPretty 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.
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polin9Decent content, hard to listenThe guests are often interesting and so is the content, but the delivery makes it unbearable to listen to, like hosts using filler words every other second and getting lost in the arguments. The pod would work for starters in DS/ML and casual listeners but there isn’t enough quality for more senior folks
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sulemanbNot practical at allUseless podcast, these just siting around talking about their history.
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luckychaparroExcellent for beginners!I’ve just begun my journey into researching machine learning and AI more widely, and Practical AI has been a light in the dark! Friendly, level, engaged, and interesting. Can’t wait for the next episode.
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Josben73My favorite podThese two really bring a complicated topic around AI and try to ensure that even the casual AI practitioner can understand. Love it!!!
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Juliet montagGreat discussions on AII love listening to Practical AI when I go for a walk or run. Staying up to date on AI trends and getting the perspectives of industry leaders on the how AI is used, where it’s headed, and how to be ethical is a real treat. I learn something new every time I tune in!
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ninevoltLearn something new every episodeI've been listening to Practical AI for a while now -- I've found it to be a useful way to keep up to date with current developments in industry regarding AI and machine learning. Highly recommended.
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Meditative-SilenceAs a college student, love itI'm currently majoring in Computer Systems Technology & wanting to pursue a career in Data Science using machine learning and things like that in the field. It's been hard to figure out what kinds of things I should be learning in my own time to better prepare for my future career. This podcast has really given me tremendous help in conceptualizing what it is that I want to do post-college. I highly recommend it to anyone and everyone.
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devMaileyFun and interesting!A great listen if you're interested in data science and everything that goes into it! Fun to listen to and so many interesting topics covered!
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mtokudomeInvaluable contentA must-listen if you are interested in the topic of data science, machine learning, and artificial intelligence. Great interviews and conversations. I'm learning a lot!
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atxbgGrass roots detector of great open source AI projectsImpressive work on spotting upcoming open source AI projects and interviewing their founders.
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doij790Great scope and content of AI related topicsI’ve been listening to this podcast lately on my way to work, and I want to say I really enjoy the its scope and the practical aspects that it covers. I especially enjoyed episode 51 with Joel Grus as he shared a lot of his insights for programming for good science and have tried to embody his practices as well as watching some of his live coding sessions on Youtube, which are great. I’m doing research in NLP at a university and I’ve always felt like my research code was not quite professional and reader-friendly, and I made good use of the learning resources that this podcast always provides.
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