『Free Form AI』のカバーアート

Free Form AI

Free Form AI

著者: Michael Berk
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このコンテンツについて

Free Form AI explores the landscape of machine learning and artificial intelligence with topics ranging from cutting-edge implementations to the philosophies of product development. Whether you're an engineer, researcher, or enthusiast, we cover career growth, real-world applications, and the evolving AI ecosystem in an open, free-flowing format. Join us for practical takeaways to navigate the ever-changing world of AI.© 2025 Michael Berk 出世 就職活動 経済学
エピソード
  • Solution Accelerators: Balancing Production Software and Durability in AI Development (E.20)
    2025/09/11

    Behind every robust AI system is a solution accelerator that makes complex development smarter.

    In this episode of Free Form AI, Michael and Ben dive into the role of solution accelerators in bridging the gap between production-ready software and simpler resources like blogs or cookbooks. They discuss frameworks vs. tools, the challenges of maintainability and how forward deployed engineers can build reusable components.

    Tune in to Episode 20 for a wide-ranging conversation about:
    • Why solution accelerators streamline development
    • How to balance abstraction and usability in frameworks and APIs
    • Testing strategies that support quality and extensibility
    • Where AI tools like GitHub Copilot fit into modern workflows

    If you’re focused on building software that lasts while delivering business value, this episode is for you.

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    50 分
  • Data Annotation to Auto-Optimization: How Agents and Human Oversight Shape AI's Future (E.19)
    2025/09/04

    In this episode of Free Form AI, Michael and Ben explore the evolution of prompt engineering and the rise of auto-optimization in AI. We discuss how agents can execute tasks autonomously, why human oversight remains essential and how defining success criteria shapes model performance.


    Tune in to Episode 19 for a wide-ranging conversation about:

    • Why prompt engineering still matters in an era of automation

    • How auto-optimization could replace traditional data annotation

    • How AI is augmenting business analytics and software workflows


    If you’re interested in where AI agents and automated optimization are heading, click through!

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    50 分
  • Automating Intelligence: Data Collection, Human Feedback and the Future of Context-Augmented Agents (E.18)
    2025/08/28

    In this episode of Free Form AI, we sit down with Tomu Hirata (Databricks), whose journey from medicine to software engineering offers a unique lens on building AI systems. From automating construction machinery to optimizing job postings at Indeed, Tomu has worked at the edge of AI data collection and model design.


    Tune in to Episode 18 for a wide-ranging conversation about:
    • The challenges of gathering real-world data for AI in construction and beyond
    • Why human feedback is critical for prompt optimization
    • How context and memory augmentation will shape the future of AI agents

    If you’re curious about where AI agents are heading, and what it takes to make them truly effective, this episode is for you.

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    1 時間 8 分
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