Recent posts tagged machinelearning

Level UI • 22 hours • in Articles • 9 min read
Somewhere in the last year, "do we need an MCP server?" joined the list of questions that arrive in a brief before anyone has said what the thing is for. It is usually framed as MCP vs API, as though the Model Context Protocol were a newer kind of AP...
post-cover-33074
  • ai
  • api
  • webdev
  • security
Posted in Open Source group
glromero • 2 days • in Tutorials • 19 min read
A. Introduction 1. Abstract Some people learning machine learning reach a stage where they can run code copied from tutorials but can't write it themselves. This post presents a No Shortcuts addendum which argues that one cause is the way librarie...
post-cover-32903
  • ai
  • programming
  • machinelearning
  • python
alessandro_pignati • 5 days • in Articles • 4 min read
Prompt injection in security operations is a privilege problem, not a filtering problem. Here is how to scope an agent so a poisoned log line cannot turn into a remediation action. Every other system in your stack has a clear idea of where untruste...
post-cover-32046
  • machinelearning
  • ai
  • agenticai
  • cybersecurity
alessandro_pignati • 5 days • in Articles • 4 min read
Residency is a deployment detail. Sovereignty is the question your auditor is really asking. A procurement questionnaire comes back with a tick in the "UK data residency" box and everyone relaxes. Then someone asks where the prompt logs go, and the...
post-cover-32044
  • machinelearning
  • agenticai
  • ai
  • cybersecurity
Sasa • 5 days • in Articles • 6 min read
This is a submission for the Kaggle Benchmarking Challengehttps://dev.to/challenges/kaggle-2026-09-23 What I Benchmarked A deployment log can contain a successful build and a failed rollout. Exit 137 can indicate SIGKILL without proving an out-of-m...
post-cover-32469
  • devchallenge
  • kagglechallenge
  • ai
  • machinelearning
Ruvarashe S Nemaramba • Oct 23 • in Articles • 9 min read
Artificial Intelligence AI is the new thing on the street. Everyone is talking about it, and everyone wants to be part of it in one way or another. From chatbots that can hold conversations to self-driving cars and systems that can help detect diseas...
post-cover-32223
  • ai
  • machinelearning
  • deeplearning
  • programing
alessandro_pignati • Oct 22 • in Articles • 5 min read
A practical look at what "UK data residency" actually means when you wire Claude into an enterprise stack, and the controls that matter more than the region string. Most teams treat data residency as a dropdown. Pick the region closest to your legal...
post-cover-32045
  • machinelearning
  • ai
  • agenticai
  • cybersecurity
Agdex.ai • Oct 21 • in Articles • 1 min read
The 2026 AI Video Generation Benchmark: Inside Seedance, Sora, Kling, Hailuo, and Wan2.1 Following the speculative buzz of 2024, generative video in late 2026 has transitioned into an era of industrial automation, native audio-video synchronization...
  • ai
  • video
  • machinelearning
  • architecture
Devananda A • Oct 21 • in Articles • 1 min read
This is a personal project inspired by the Hacktoberfest Open-Source AI Challenge Week 1 theme, “Touch Grass.” What I Want to Build PHANTOM Nature Scout is a concept for an AI-powered nature companion designed to encourage people to spend more time...
post-cover-31934
  • ai
  • productivity
  • beginners
  • machinelearning
Tom Smithverified • 18 hours • in Articles • 9 min read
Security dominated this week, but not in the usual way. Two active campaigns turned GitHub configuration files into attack surfaces. Researchers demonstrated that the built-in browsers inside AI coding tools can read your SSH keys. And at Oracle AI ...
post-cover-33104
  • agenticai
  • devsecops
  • github
  • localai
M_UmairAshraf • Oct 21 • in Articles • 8 min read
title: "AWS PyTorch: Build, Train, and Deploy Deep Learning Models in the Cloud" published: true description: "Learn how to build a PyTorch image classifier, store model artifacts in Amazon S3, and move toward managed machine learning training and d...
  • aws
  • pytorch
  • machinelearning
  • python
alessandro_pignati • Oct 19 • in Articles • 6 min read
A million output tokens, aggressive launch pricing and a benchmark table nobody has reproduced yet. Here is how to evaluate Argon like an engineer, not a spectator. Every frontier model launch follows the same script. A vendor publishes a chart whe...
post-cover-31044
  • machinelearning
  • agenticai
  • ai
  • cybersecurity
alessandro_pignati • Oct 19 • in Articles • 6 min read
A practical guide to reading Claude API errors, telling outages from your own bugs, and building a fallback path that holds up On the morning of September 3, 2026, Claude, ChatGPT and Grok all had problems within the same few hours. Anthropic's sta...
post-cover-31042
  • machinelearning
  • agenticai
  • ai
  • cybersecurity
engineering_of_alphabets_eoa • Oct 14 • in Articles • 7 min read
alphabets #nlp #mathematics #symbolicdynamics #fractals #eigenvalues #perronvalues Here is a string of letters: gzhlvzggjzyihjgheqvzgzhlvzhlvbjzgyhzizygjzbjzhlvgjzehjdzzgheqv... It looks like a cat walked across a keyboard. It isn’t. It’s the start...
post-cover-31120
  • ai
  • machinelearning
  • maths
  • computerscience
alessandro_pignati • Oct 12 • in Articles • 4 min read
The two September 2026 flagships split the benchmark wins. For developers, the decisions that matter are routing, cost and prompt injection. If you shipped an LLM feature in the last year, you probably picked one provider, hardcoded it and moved on....
post-cover-30113
  • cybersecurity
  • agenticai
  • ai
  • machinelearning
alessandro_pignati • Oct 12 • in Articles • 4 min read
An agent with a harmless research task broke into a government portal on its own. Here is why it happened and the runtime controls that would have stopped it. Most of us have written a retry loop. A request fails, you back off, you try again, maybe...
post-cover-30112
  • cybersecurity
  • agenticai
  • ai
  • machinelearning
alessandro_pignati • Oct 12 • in Articles • 5 min read
A developer's checklist for the layer that sits between your code and every model you call Most teams don't decide to adopt an AI gateway. They drift into one. It starts with a thin wrapper around the OpenAI client so you can swap API keys. Then so...
post-cover-30111
  • cybersecurity
  • agenticai
  • ai
  • machinelearning
Avneet • Oct 10 • in Articles • 5 min read
After OCR, most pipelines throw the layout away and re-discover the same form from scratch every time. textract-field-memoryhttps://github.com/aws-samples/sample-textract-field-memory is a small, zero-dependency Python layer that remembers where fiel...
post-cover-30618
  • aws
  • ocr
  • textract
  • machinelearning
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