Practical AI

De: Practical AI LLC
  • Resumen

  • 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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Episodios
  • Open source AI to tackle your backlog
    Apr 17 2025

    Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).

    Featuring:

    • Robert Brennan – LinkedIn, X
    • Graham Neubig – LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • All Hands
    • All Hands on GitHub
    • All Hands on Hugging Face

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    42 m
  • Orchestrating agents, APIs, and MCP servers
    Apr 14 2025

    In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard.

    Featuring:

    • Pavel Veller – LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • EPAM
    • DIAL
    • SWE-bench results
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    43 m
  • 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, X
    • 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 m
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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.

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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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