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Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. Browse the latest and most valuable Machine Learning(ML) articles handpicked from across the web. Learn from top blogs and industry experts. Share your resource

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Building Production-Ready SaaS Data Connectors & AI Safety Hooks in Python (With Checkpoint Paginat

Building reliable SaaS data connectors and secure AI agent tooling requires two critical components: robust checkpoint-based pagination for incremental syncs and strict pre-tool execution safety hooks. In this post, we explore how to implement both i

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Show DEV: I built an evidence-first Windows diagnostic workstation

I'm an onsite IT technician and independent developer from Sweden. I built FieldRook because I wanted a better way to investigate Windows problems without relying entirely on disconnected diagnostics, guesswork, or AI-generated answers that sound con

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Building a RAG Application with LangChain.js and Oracle AI Database

A TypeScript example of vector search, metadata filtering, MMR, and grounded answers with...

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Building Autonomous AI Research Agents with LangGraph, ReAct & Memory

Simple LLM chains (Chain.run()) are linear and brittle: if a tool call fails or a web search returns...

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Why I Still Bought a GPU to Run AI When Claude and GPT Are Obviously Stronger

Originally published on my blog — read it there with the full context, code and updates. Across the self-hosted production infrastructure I manage — Docker stacks, NAS storage, tunnels, and automated cron pipelines — I still pay for frontier models.

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Check an AI Agent's Identity, Owner and Consent Before It Reads Personal Data

On November 13, 2026, India's Data Protection Board opened registration for Consent Managers under the DPDP Rules. The same week, the Linux Foundation launched Agent Name Service, and Zetrix AI with CAICT announced a Know Your Agent service. Both giv

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Pay AI agents through an on-chain escrow from n8n, TypeScript or Python (Base Mainnet)

AI agents are starting to buy work from each other. The hard part is not sending money; it is paying only when the work is delivered. ARL Protocol solves that with an on-chain escrow on Base Mainnet, and you can now use it from whatever you already w

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AI Brand Tracking: A Practical Check You Can Run Today

Someone asks ChatGPT for "the best fragrance-free sunscreen for oily skin". The answer names three brands, links two review sites and gets one price wrong. If one of those brands is yours, or should have been, you'll never hear about it. Nothing show

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AI Brand Tracking: A Practical Check You Can Run Today by yourself

Someone asks ChatGPT for "the best fragrance-free sunscreen for oily skin". The answer names three brands, links two review sites and gets one price wrong. If one of those brands is yours, or should have been, you'll never hear about it. Nothing show

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Building a RAG Application with LangChain.js and Oracle AI Database

A TypeScript example of vector search, metadata filtering, MMR, and grounded answers with OracleVS. Continue reading on Oracle Developers »

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How to check documents for hidden text before your AI agent reads them

If your agent or RAG pipeline reads documents from outside — résumés, contracts, supplier PDFs, email attachments — some of them will contain text a person can't see but your model reads. White text on a white page. A 1pt font. Characters that render

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Google’s New AI Strategy: Stop Selling Intelligence. Start Selling Completed Work.

Gemini 4 Carbon and Antigravity’s agent swarms reveal a different AI race — one where the winning model may not be the smartest, but the… Continue reading on Medium »

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This Week’s Top GitHub AI Repos Put Coding Agents to Work Auditing Code

Cloudflare’s security-audit skill gained more stars than any other repo on GitHub this week, and OpenAI’s Codex Security and shadcn’s… Continue reading on Medium »

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Accelerating generative AI delivery with reusable assets

Every generative AI team keeps rebuilding the same components: RAG pipelines, document processors, and agent scaffolding. This post shows how to access a curated catalog of 23 production-ready, open source reusable assets from the AWS Generative AI I

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Build autonomous AI agents with Amazon Bedrock and Spring AI

Learn how Java developers can build production-ready autonomous AI agents using Amazon Bedrock and Spring AI. This post walks through tool calling, conversation memory, resilience patterns, and multi-agent orchestration, then deploys the agent to AWS

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I Compared 3 Rust LLM Frameworks. Which One Can Actually Challenge Python?

Candle, mistral.rs, and Burn are taking different approaches to AI. Here’s what developers should compare before choosing a production LLM… Continue reading on Medium »

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Currency API for AI Agents: Live Exchange Rates via Tool Calling

Ask a language model what 2,500 US dollars is in euros and it will answer with confidence. The number will be wrong, because the model last saw a rate during training. The fix is a currency API exposed as a tool. The model decides when it needs a rat

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Has Complexity Been Exaggerated in the Age of AI?

Artificial intelligence does not eliminate complexity it changes where complexity lives, how quickly it moves, and who must remain… Continue reading on Medium »

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Securing an agent

The model is not a security boundary. Good AI agent security puts identity, authorisation, untrusted-text handling, PII masking, limits… Continue reading on Medium »

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Shipping your agent

Deploy an AI agent as a real service: a streaming HTTP API, timeouts and limits, shared state, a container, tracing, and a clear number… Continue reading on Medium »

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