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Planet AI Developer Filter · October 07, 2026 16:00

Agent Lightning: Lightweight RL agent-training framework

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without...

Planet AI Developer Filter · October 07, 2026 15:50

Beyond hours saved: Building the business case for agentic automation | Amazon Web Services

The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time savings, exception handling, decision quality, and maintenance economics, and...

Topics: Developer Automation

Entities: Developer Automation

Planet AI Developer Filter · October 07, 2026 15:48

How Qlik built grounded, enterprise-scale AI with Amazon Bedrock | Amazon Web Services

Qlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with cross-Region inference and Amazon Bedrock Guardrails...

Planet AI Developer Filter · October 07, 2026 15:46

Automate remediation post AWS DevOps Agent investigation | Amazon Web Services

AWS DevOps Agent can diagnose production incidents but is kept in observe-and-report mode so it does not change resources directly. This post shows how to use AWS Lambda Durable Functions, Amazon EventBridge, and Amazon Bedrock to turn its investigation...

Planet AI Developer Filter · October 07, 2026 15:38

How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock | Amazon Web Services

Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis from 45 minutes to 10, a 78%...

Topics: Developer Automation

Entities: Developer Automation

Planet AI Developer Filter · October 07, 2026 15:30

How Wrong Is Your Marketing Mix Model (MMM)?

A well-built MMM can still be wrong, because the spend it learns from never held the information it needs. This article tests whether changing when you spend, not how much, can fix that.

Planet AI Developer Filter · October 07, 2026 14:30

Release b11477: llama: share the nextn tensor flags between models (#30097) · ggml-org/llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.