Practical AI

By: Practical AI LLC
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  • Summary

  • 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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Episodes
  • Software and hardware acceleration with Groq

    Software and hardware acceleration with Groq
    Apr 2 2025

    How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures.

    Featuring:

    • Dhananjay Singh – LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Groq

    Sponsors:

    • Augment Code - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates.
    ★ Support this podcast ★
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    43 mins
  • AI-assisted coding with GitHub's COO

    AI-assisted coding with GitHub's COO
    Mar 21 2025

    Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools.

    Featuring:

    • Kyle Daigle – LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Sponsors:

    • Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.
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    50 mins
  • Optimizing for efficiency with IBM’s Granite

    Optimizing for efficiency with IBM’s Granite
    Mar 14 2025

    We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance.

    Featuring:

    • Kate Soule – LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • IBM Granite
    • IBM Granite on Hugging Face
    • IBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise
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    44 mins

Featured Article: These Listens Get Real About Artificial Intelligence


It seems artificial intelligence—or AI, for short—is a mainstay of headlines these days. But with the field growing so rapidly and changing day by day, it’s practically impossible to keep up with all the new developments. And whether you're excited, skeptical, or just curious about AI, there's one thing that seems certain—artificial intelligence is here to stay. Stay up-to-date on the ever-growing field of AI with these exceptional nonfic audiobooks and podcasts.

Featured Article These Listens Get Real About Artificial Intelligence

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Profile Image for justin

This could have been really cool

There is only like 10 minutes of actual decent information in each episode. it's basically a platform for plugging products. Pretty much the Walmart model of darknet diaries.

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