Reactive Machines

Serve live, governed data in AI-built apps with Amazon Quick

Serve live, governed data in AI-built apps with Amazon Quick

[ad_1] Quick Apps could already bring live data into an app from connectors and content sources: action connectors (services like…
Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

[ad_1] In my previous post: Building persistent memory for multi-agent AI systems with Amazon S3 Vectors, we explored why memory…
How uniopen customized Amazon Nova to their retail moderation policies for production deployment

How uniopen customized Amazon Nova to their retail moderation policies for production deployment

[ad_1] uniopen is a digital communication and membership platform launched by Taiwan’s Uni-President Enterprises Group, connecting customers to ecommerce, membership…
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

[ad_1] Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation…
RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

[ad_1] The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a…
Query claims in natural language with Amazon Bedrock Knowledge Bases

Query claims in natural language with Amazon Bedrock Knowledge Bases

[ad_1] Claim answers are scattered across adjuster diary entries, repair estimates, police reports, payment ledgers, and scanned attachments rather than…
Amazon Bedrock expands Claude model availability to in-country inferencing in India

Amazon Bedrock expands Claude model availability to in-country inferencing in India

[ad_1] We’re excited to announce the availability of Anthropic’s Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 in…
On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study

On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study

[ad_1] Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear…
SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation

SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation

[ad_1] Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires…
Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock

Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock

[ad_1] GPT-6.1 Sol is now generally available on Amazon Bedrock, bringing stronger reasoning to coding, computer use, and professional workloads…
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