Managing Small Context Windows in Language Models
In this article, you will learn three practical strategies for managing small context windows in large language models, along with working Python examples that demonstrate…
GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
Reinforcement Learning with Verifiable Rewards (RLVR), often optimized with Group Relative Policy Optimization (GRPO), has become a central recipe for improving the reasoning capabilities of pretrained language models but current studies remain heavily English-centric. We conduct a large-scale empirical study of multilingual and non-English GRPO across a wide range of base models, training languages, and …
Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale
Agents have evolved from simple chat applications to autonomous, long-running systems that dynamically discover and compose dozens of tools per task without human oversight. On the other side, service and content providers are moving from human-centric subscription-based, one-size-fits-all pricing to pay-per-use, per-execution models where costs are often a few cents. Today, agents are doing a …
Building cost-effective, high-throughput gen AI workflows in Google Dataflow
Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to transaction logs. Traditionally, streaming DAGs are static; once deployed, their processing logic and execution paths are fixed. However, by integrating generative AI agents, we can move beyond static logic to adaptive execution. This allows streaming workflows to …
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Squeeze More Juice Out of Your Dead Batteries—Using Physics
How the joule thief circuit “steals” energy from seemingly depleted power cells.
When AI art has no author: Study finds generated images often can’t be traced to training data
When an artificial intelligence image generator produces a portrait, whose work went into it? The question sits at the center of lawsuits, licensing deals and proposed regulations worldwide. Artists want credit. Companies want clarity. Policymakers want a way to assign responsibility.
Using H3 as a Character Reference Sheet Generator
Like some of ya’ll I have been having fun using the H3 model to mess around with so I have been experimenting with using H3 model to be a consistent character generator which leverages multi image reference (up to 9), so I made a workflow which you can use ‘less than ideal’ images from google …
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7 Regression Tests Every AI Agent Should Pass Before Deploy
In this article, you will learn seven concrete regression tests for catching the orchestration-layer failure modes that matter most before deploying an AI agent to…
NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart
NVIDIA Nemotron 3.5 Lightning is designed for the fast, specialized model execution required by high-volume agentic workloads. With NVIDIA Nemotron 3.5 Lightning on Amazon SageMaker JumpStart, you can access an open model designed for high-volume agentic workloads. With this launch, you can deploy Nemotron 3.5 Lightning from Amazon SageMaker JumpStart without configuring the serving infrastructure …
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What Is El Niño, and What Does It Mean for Weather, Water, and the Global Economy?
This year’s El Niño is shaping up to be the strongest on record. Here’s what to expect.