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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Agents1 min read
AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and s...
From AWS machine learning blog
Agents2 min read
This post outlines a framework for customizing generative AI models on AWS, ranging from simple prompt engineering to training custom models. The spectrum guides engineers through the appropriate level of investment based on workload requirements and data needs.
From AWS machine learning blog
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
Agents1 min read
This post details a two-layered approach to monitoring production agent systems. It combines Amazon Bedrock AgentCore Evaluations for continuous quality scoring with AWS DevOps Agent for autonomous infrastructure investigation, using a four-agent airline reservation system as an example.
From AWS machine learning blog
Agents1 min read
Guidelines for developing production-grade, agent-based business process automations using Amazon Quick Automate, focusing on process selection, agent design, and evaluation.
From AWS machine learning blog
LLMs1 min read
NVIDIA's CUDA remains central to GPU-accelerated computing, supporting scientific simulations and AI training. This article provides a detailed optimization process for CUDA workflows.
From NVIDIA technical blog
AI1 min read
Discover how cloud cost optimization adapts in the age of AI, with best practices for managing spend, improving efficiency, and maximizing value. The post Cloud Cost Optimization: Principles that still matter appeared first on Microsoft ...
From Microsoft Azure AI blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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