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Curated links from external sources — not 360Softy original articles.

ExternalAI
AWS Machine Learning Blog

Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract

Learn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. This post shows how to ingest and preprocess PDFs and images, then query utility bills at scale for faster, more accurate customer interactions.

Amazon BedrockAmazon TextractIntermediate (200)
AWS Machine Learning BlogRead original
ExternalCybersecurity
SecurityWeek

OpenAI Pledges $1 Billion to Bring Frontier AI to Critical Infrastructure Defenders

The Daybreak initiative will provide subsidized AI cyber capabilities, training and technical assistance, though OpenAI has disclosed few details about costs and eligibility. The post OpenAI Pledges $1 Billion to Bring Frontier AI to Critical Infrastructure Defenders appeared first on SecurityWeek.

Artificial IntelligenceICS/OTFeatured
SecurityWeekRead original
ExternalAI
AWS Machine Learning Blog

How Intuit built an agentic disaster recovery assistant with Amazon Bedrock

Disaster recovery at scale is hard. Learn how Intuit built EWOK Agent, an agentic disaster recovery assistant on Amazon Bedrock that lets on-call engineers run production failovers from a plain-language request while keeping every action audited, policy-compliant, and safe.

Advanced (300)Amazon BedrockCustomer Solutions
AWS Machine Learning BlogRead original
ExternalTechnology Trends
The Verge Tech

Microsoft says virtually nobody was grabbing NYT articles through its chatbot

Microsoft's Copilot rarely reproduces even full sentences from news articles and books, let alone substantive chunks that could substitute for the original, the company says in new legal filings as it fights copyright claims from publishers including The New York Times and book authors. As part of the lawsuit's discovery, Microsoft provided 8.2 million Copilot chat logs to an expert hired by news publishers. The logs, it claims, were specifically chosen "because they hit on keywords implicating

The Verge TechRead original
ExternalSoftware Engineering
GitHub Blog

Project HydraFusion: Frontier quality via multi-model orchestration

In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Now available as a research preview in GitHub Copilot. The post Project HydraFusion: Frontier quality via multi-model orchestration appeared first on The GitHub Blog.

AI & MLGitHub CopilotLLMs
GitHub BlogRead original
ExternalSoftware Engineering
DZone

Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines

Retrieval-augmented generation solved a real problem: it grounded LLM outputs in facts the model was never trained on. But classic RAG has a ceiling. It retrieves once, stuffs the results into a prompt, and hopes the top-k chunks happen to contain the answer. There's no self-correction, no multi-step reasoning, and no way to recover when the first retrieval misses. Agentic RAG removes that ceiling by putting an LLM-driven agent in the loop — deciding what to retrieve, when to retrieve again, whe

DZoneRead original
ExternalCloud
Google Cloud Blog

How Yahoo optimizes resources with flexible VMs in Managed Service for Apache Spark

As a global media and technology company connecting hundreds of millions of users to finance, sports, and entertainment platforms, Yahoo operates a massive data infrastructure where analytics workloads must run continuously at high speed. In deadline-driven data environments, relying on fixed virtual machine (VM) configurations creates a brittle system; if a specific machine shape faces a regional capacity constraint, cluster provisioning in Managed Service for Apache Spark (formerly Dataproc) c

StreamingCustomersData Analytics
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Spanner migrations: Automating dual-write with Antigravity CLI for minimal disruption

When Google's Finance Engineering team needed to modernize their legacy data layer, they chose Spanner, a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migrating to Spanner without taking production services offline was a daunting engineering challenge: As the internal team responsible for the application, we needed to manually rewrite dual-write logic across dozens of Data Access Objects (DAOs), a process that is slow and prone to human

AI & Machine LearningCloud MigrationDevelopers & Practitioners
Google Cloud BlogRead original

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