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Automating Intelligence: Data Collection, Human Feedback and the Future of Context-Augmented Agents (E.18)
Manage episode 503037877 series 3646654
المحتوى المقدم من Michael Berk. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Michael Berk أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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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