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Changelog Media
Practical AI
Machine Learning, Data Science
Making artificial intelligence practical, productive, and 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, and 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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Ratings & Reviews
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4.4 stars from 164 ratings
“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...”Read full review »
Sad_Truth via Apple Podcasts ·
United States of America ·
05/21/23
Decent content, hard to listen
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“The 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...”Read full review »
polin9 via Apple Podcasts ·
United States of America ·
03/11/23
Recent Episodes
Lately.AI has been working for years on content generation systems that capture your unique “voice” and are tailored to your unique audience. At first, they didn’t know that they were going to build an AI system, but now they have a state-of-the-art generative platform that provides much more...
Published 06/06/23
Published 05/31/23
You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities....
Published 05/31/23
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