
Automating Intelligence: Data Collection, Human Feedback and the Future of Context-Augmented Agents (E.18)
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
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.
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.