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Systems Architecture & Applied AI Dispatches

Technical Perspectives, Systems Blueprints & Autonomous Workflows

Evidence-grounded engineering teardowns, production telemetry, and curated technological intelligence for leaders building deterministic software and enterprise AI infrastructure.

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In-depth systems architecture teardowns authored directly by MTREXA practitioners from real deployments.

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Structured technical synthesis and algorithmic benchmarks produced via automated research pipelines.

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Monitored industry developments, cloud provider releases, and research papers with primary-source attribution.

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FEATURED DISPATCHAI-Assisted ResearchAUTOMATEgithub.blog
2 min read

Beyond code generation: A developer’s guide to agentic engineering

Writing code got faster. The work around it didn't. See how you can plan, write code, review changes, and investigate production issues with GitHub Copilot, and what work still needs your judgment. The post Beyond code generation: A developer’s gu...

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Intelligence Archive

74 dispatches
AI-Assisted ResearchBUILD
AWS ML & Architecture

SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints

Amazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG), which divides one GPU into hardware-isolated partitions so you can run a different model in each or take a right-sized fraction of a newer accelerator. ...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Taxonomy of agentic primitives in Amazon Quick

As we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned c...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Serverless MCP server for AI agent data lake access on Amazon ECS Fargate

Learn how to build a serverless Model Context Protocol (MCP) server on Amazon ECS with AWS Fargate that gives AI agents secure, metadata-driven access to an enterprise data lake. Exposing a new dataset requires only a JSON file, with no per-datase...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 2

In Part 1 you built one governed agent. Part 2 scales the pattern to an enterprise: Amazon Bedrock AgentCore Gateway becomes the single front door and redeems Okta's grant, Cedar policies bind each tool to the agent, a second agent runs on Amazon ...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 1

An AI agent that acts for a user raises an identity question that per-app OAuth and service accounts leave open: which agent may act for which user, and how you stop it. In this first post of two, you build a task agent on Amazon Bedrock AgentCore...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How Greenlight Financial built an autonomous SOC solution on Amazon Bedrock AgentCore

Greenlight Financial resolves more than 90% of up to 4,000 monthly security and risk cases without human intervention using Luna, a tiered multi-agent system on Amazon Bedrock AgentCore. This post covers the architecture, episodic memory for conti...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore

Taxbit built Taxbit Assist, a cited, permission-aware AI assistant embedded in its enterprise dashboard, on Amazon Bedrock AgentCore. This post shows how they grounded answers in a curated knowledge base, enforced role-aware and region-compliant s...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls

Run Claude Code as a remote agent on Amazon Bedrock AgentCore. Each coding task runs in its own isolated session in your AWS account, every model call goes through Amazon Bedrock, and the result comes back as a GitHub pull request you review and m...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Getting started with Web Answer on Amazon Bedrock AgentCore

Web Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call, with no search, retrieve, synthesize, and citation pipeline to build. Learn how it works and how to add it to a...

2 min read
MTREXA Intelligence Team
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github.blog

Inside GitHub’s new Git storage architecture

GitHub's new Git storage architecture is built so thousands of agents can push to a single repository at once. Here's how it works. The post Inside GitHub’s new Git storage architecture appeared first on The GitHub Blog .

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How Amazon Marketplace evaluates content quality with Amazon SageMaker AI

Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and...

2 min read
MTREXA Intelligence Team
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Microsoft Research

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into ...

2 min read
MTREXA Intelligence Team
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OpenAI Research

GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents

Introducing GPT‑6 Cyber, OpenAI’s cybersecurity model for finding exploitable vulnerabilities and developing fixes, trained to stay within authorized scope.

1 min read
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AWS ML & Architecture

Use decision models with Amazon Bedrock AgentCore Evaluations

Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Smart Approvals in Amazon Quick: Human oversight where it matters

Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary, how a classifier reviews act...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Four layers of context engineering for production AI agents: How Deep Insight applies them in working code

In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How Indegene is modernizing and scaling enterprise data quality in life sciences

This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How U Mobile built agentic telco operations with Amazon Bedrock AgentCore

U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action across telco operations. Nine months after production launch, AiDaH ha...

1 min read
MTREXA Intelligence Team
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OpenAI Research

OpenAI to acquire Pierre Computer Company, Inc.

OpenAI will acquire Pierre Computer Company, expanding Codex’s tools for building, understanding, and reviewing code.

1 min read
MTREXA Intelligence Team
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OpenAI Research

A thousand fewer paths to root

OpenAI built an autonomous pipeline that found, validated, and generated patches for 948 local privilege-escalation vulnerabilities in the Linux kernel.

1 min read
MTREXA Intelligence Team
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OpenAI Research

Daybreak Red is now available in AWS GovCloud (US-East)

Daybreak Red brings GPT-5.6 Cyber to approved customers in AWS GovCloud (US-East) through Amazon Bedrock for authorized cybersecurity work.

1 min read
MTREXA Intelligence Team
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OpenAI Research

DevRev delivers autonomous self-service with GPT-6.1 Sol

DevRev uses GPT-6.1 Sol to power Computer and Operator, balancing reasoning, speed, and cost for enterprise service.

1 min read
MTREXA Intelligence Team
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Google DeepMind

Agentic cheminformatics with Google Antigravity

Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Bring structured and unstructured data together with Amazon Quick

Amazon Quick brings structured and unstructured data together in one experience. In this post, you connect Amazon S3 as a knowledge base, enrich a dataset, build a Space, and create a custom chat agent that answers business questions across both d...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

ServiceNow on-behalf-of token exchange with Bedrock AgentCore Gateway

Learn how to configure Amazon Bedrock AgentCore Gateway for an on-behalf-of (OBO) token exchange with Microsoft Entra ID, so an AI agent can call the ServiceNow REST API while preserving the calling user's identity. AgentCore Gateway performs the ...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search

Gen Digital built Norton Revamp, a generative AI-powered professional reputation management platform, with an AI-curated News Engine grounded by Web Search on Amazon Bedrock AgentCore. See how the Gen team delivers real-time, cited content suggest...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore

Learn how to build a governed semantic layer for agentic AI inside EDB Postgres AI and query it from a Strands Agents agent on Amazon Bedrock AgentCore. Business meaning, join paths, and access control all live in Postgres, with GRANT and row-leve...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Building ultra-low-latency voice AI applications on AWS

Learn how Cartesia, an AWS Partner, uses purpose-built State Space Models and AWS infrastructure to deliver sub-100ms text-to-speech and speech-to-text at global scale, and how to deploy its Sonic model on Amazon SageMaker AI or self-managed Amazo...

2 min read
MTREXA Intelligence Team
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OpenAI Research

Accelerating engineering for the physical world

Discover how ChatGPT and Codex are helping engineers accelerate CAD, PCB design, simulation, and other workflows across the physical world.

1 min read
MTREXA Intelligence Team
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OpenAI Research

How Cisco defends at machine speed with OpenAI

Cisco combines network intelligence with OpenAI models to strengthen enterprise security. Learn how it is building more adaptive defenses.

1 min read
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OpenAI Research

Heimstaden is changing residential real estate management with AI

Discover how Heimstaden uses OpenAI’s ChatGPT Enterprise and Codex to transform property management, cut costs, and empower employees across Europe.

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI

This post shows how to use Crawl4AI, an open source web crawler, as a content preparation layer for Amazon Bedrock Knowledge Bases, handling JavaScript rendering, selective extraction, and custom metadata enrichment before web content reaches an A...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontie...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

Learn how to build a multi-agent engineering assistant that compresses aerospace component substitution evaluation from days to minutes, using Amazon Nova Multimodal Embeddings, Amazon Bedrock AgentCore, and the Strands Agents SDK to assemble subs...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Be...

1 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
OpenAI Research

Qodo builds context into AI code review with Codex

Qodo brings company knowledge and coding standards into Codex, helping developers catch P0 issues across repositories before opening a pull request.

1 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
AWS ML & Architecture

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

A practical reading of AWS's five-stage Bedrock cost model for FinOps and platform teams: attribution, observability, enforcement, optimization, and review.

2 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
AWS ML & Architecture

Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

AWS AgentCore Session endpoints let a reviewer test an app as a coding agent edits it within the same runtime session.

2 min read
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AWS ML & Architecture

How Worldwide Express automated freight exceptions with Amazon Bedrock

A sourced look at Worldwide Express's reported freight billing results, the agent workflow, and why human review remained part of the process.

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

A careful reading of AWS's GovCloud setup for ChatGPT desktop, including the controls to review and its explicit authorization limits.

2 min read
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Microsoft Research

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Microsoft Research uses synthetic organizations and grounded questions to evaluate Copilot on realistic tasks without customer data.

2 min read
MTREXA Intelligence Team
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OpenAI Research

Fair use benefits everyone

OpenAI shares excerpts from court briefs by creators, academics, accessibility advocates, and legal experts, among others, on how fair use supports AI training and innovation.

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Building intent-driven UI testing with Amazon Nova Act

Epsilon uses Nova Act and managed browsers for plain-language UI tests alongside Playwright. Here is the workflow and what its reported results do—and do not—show.

2 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
AWS ML & Architecture

Build a repeatable PHP-to-Java migration engine with Kiro

A sourced summary of AWS's PHP-to-Java migration method: inventory hidden rules, translate in phases, and test behavior parity before cutover.

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs

AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker Training ...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

How MoEngage turned over 400 APIs into agent tools with AgentCore Gateway

MoEngage turned roughly 400 private REST APIs across 7 AWS Regions into permission-scoped agent tools with Amazon Bedrock AgentCore Gateway. No per-service MCP servers, no public endpoints, and no 400-tool context bloat. See how OpenAPI specs, Ced...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS

NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode,...

2 min read
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OpenAI Research

Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot

Credit Saison’s ChatGPT Enterprise pilot delivered 954% ROI. See how leaders and employees helped turn the results into companywide adoption.

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Building an Agentic AI Platform on Amazon Bedrock AgentCore

Stand up a governed, multi-account Agentic AI Platform on Amazon Bedrock AgentCore. This post walks through the architecture and an open-source reference blueprint: the operating model, control plane, per-Workstream cells, separate inference and t...

2 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
AWS ML & Architecture

Distributed training with Ray Train DLCs and EFA on EKS

The Ray Train Deep Learning Container ships the full CUDA-through-EFA stack, so you build no image. This post walks through a reproducible sample that fine-tunes Qwen2.5-1.5B with PyTorch FSDP across eight GPUs on two EFA-enabled g6.12xlarge insta...

2 min read
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AWS ML & Architecture

Accelerating software delivery with agentic QA automation using Amazon Nova Act – Part 3

As QA test automation spreads across an organization, organizing tests and controlling who owns them becomes the real work. Part 3 of the QA Studio series on Amazon Nova Act adds applications that organize tests and report health metrics, plus tea...

2 min read
MTREXA Intelligence Team
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github.blog

GitHub Universe 2026: Evolving every layer of the stack

Today, we laid out our vision for GitHub as the most comprehensive, end-to-end software delivery system in the world. The post GitHub Universe 2026: Evolving every layer of the stack appeared first on The GitHub Blog .

1 min read
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github.blog

Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents

See how a record year of growth reached every industry, every field, and every kind of builder in the 2026 Octoverse report. The post Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents appeared first on The GitHub ...

2 min read
MTREXA Intelligence Team
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OpenAI Research

OpenAI and ServiceNow expand partnership across enterprise workflows

OpenAI and ServiceNow expand their partnership to bring OpenAI models and agents into ServiceNow and ServiceNow workflows into ChatGPT and Codex.

1 min read
MTREXA Intelligence Team
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OpenAI Research

Legora is building the agentic operating system for legal work

See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.

1 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
AWS ML & Architecture

Announcing SOCI-indexed images for faster SageMaker AI jobs

Seekable OCI (SOCI) indexing for Amazon SageMaker AI training and processing jobs takes full container image download off the critical path. SageMaker AI lazy-loads your image to start containers in seconds instead of minutes, with no changes to y...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Fix evaluation bias to unlock better models on Amazon Bedrock

Property Finder found that 96.8% of their vision-AI evaluation labels were inherited from the incumbent model, hiding its true accuracy. See how they built unbiased ground truth, applied evolutionary prompt optimization, and selected a more accura...

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Exowatt beats frontier models on accuracy with SageMaker serverless model customization

In this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets, edge and cloud, achieving higher accuracy than fr...

1 min read
MTREXA Intelligence Team
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OpenAI Research

Retell uses OpenAI models to help power 100M monthly calls

GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.

1 min read
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OpenAI Research

OpenAI expands partnership with Oracle to bring its apps to ChatGPT

OpenAI and Oracle are expanding their partnership to bring business applications and AI agents into ChatGPT and power new Oracle offerings.

1 min read
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OpenAI Research

How Check Point accelerates vulnerability research with Daybreak

With OpenAI Daybreak, Check Point speeds up the research behind new security protections, enabling its analysts to turn vulnerability intelligence into customer defenses faster.

1 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
OpenAI Research

Greptile takes bug detection beyond code review with GPT-6 Astra

How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.

1 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, and vers...

2 min read
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AWS ML & Architecture

Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock

Every time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instructions,...

2 min read
MTREXA Intelligence Team
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AWS ML & Architecture

Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

Build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers of obs...

2 min read
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OpenAI Research

GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases

CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.

1 min read
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OpenAI Research

How Ultrafast cut incident investigation from hours to minutes at OpenAI

See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.

1 min read
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OpenAI Research

Introducing GPT-6.1 Terra

Bringing fast and capable computer use to everyone

1 min read
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huggingface.co

Does Your Model Run on AWS Trainium? Look It Up

A technical breakdown of AWS Trainium model support via torch-neuronx, detailing architectural compatibility, compiler prerequisites, and cost-reduction opportunities for enterprise AI workloads.

4 min read
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AWS ML & Architecture

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on Amazon B...

1 min read
MTREXA Intelligence Team
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AI-Assisted ResearchBUILD
OpenAI Research

Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)

Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.

2 min read
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AWS ML & Architecture

Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregisters an...

2 min read
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AWS ML & Architecture

How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations

Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform. This post covers the ADE ar...

2 min read
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OpenAI Research

Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live

Anima expands what care teams can do with OpenAI models, giving them more capacity to respond to patients.

1 min read
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