PROOF-Gen: From Optimized Data to Better Distillation

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Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that…

Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations

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AI teams building production agents face a frustrating asymmetry: the diversity of agent frameworks keeps growing, but evaluation tooling has…

FinOps for the AI era: New flexible billing and cost controls for agents

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Editor's note: A product image was updated after initial publication. As AI takes on more complex work, business leaders face…

Orchestration is the new challenge for CX in the age of AI agents

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Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster…

How to See the Partial Lunar Eclipse and Blood Moon on August 27

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The eclipse will obscure about 93 percent of the moon’s surface. Here are the peak times and tips for the…

Simulated proving ground trains and assesses AI for actively controlling fluid dynamics

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A platform for training and comparing machine learning models to actively reduce drag, improve lift, cut noise and manage heat…

If dean ran into Harry Potter

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submitted by /u/Sad_Coach_1433 [link] [comments]

Why AI Doesn’t Need Your Content — And What It Actually Needs Instead

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Ask most people what makes content valuable to AI right now, and you’ll get some version of the same answer:…

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

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Unified multimodal models that understand, reason over, and generate interleaved text–image sequences remain structurally fragmented: existing approaches either sacrifice visual…

Agentic observability with Amazon OpenSearch Service MCP Apps

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Observability agents are fast. They query alerts, correlate logs with traces, and produce a root cause hypothesis in minutes. The…