Author: AI Generated Robotic Content

Text-to-SQL generation remains a persistent challenge in enterprise AI applications, particularly when working with custom SQL dialects or domain-specific database schemas. While foundation models (FMs) demonstrate strong performance on standard SQL, achieving production-grade accuracy for specialized dialects requires fine-tuning. However, fine-tuning introduces an operational trade-off: hosting custom models on persistent infrastructure incurs continuous costs, even during …

Read more “Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference”

Editor’s note: Today we hear from Perry Nightingale, SVP of Creative AI at WPP about the workflow that cuts training time for humanoid robots from days to minutes — plus access to the open-source code to do it yourself. Robots are pushing the boundaries of what content creators and directors can capture. These technologies have …

Read more “How WPP accelerates humanoid robot training 10x with G4 VMs”

About this Series Frontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, …

Read more “Frontend Engineering at Palantir: Polar Scaled Tiles in Zodiac”

Amazon Quick Sight, the business intelligence (BI) capability of Amazon Quick, is a unified BI service. It provides modern interactive dashboards, natural language querying, pixel-perfect reports, machine learning (ML) insights, and embedded analytics at scale. Amazon Quick brings together AI agents for business insights, research, and automation in one integrated experience, helping you work smarter …

Read more “Create rich, custom tooltips in Amazon Quick Sight”