Recent posts tagged machine-learning

Description for Tag: "machine-learning"

A subset of AI that enables systems to learn from data and improve over time.
Level UI • 17 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
Imran Ghafoor • 2 days • in Articles • 10 min read
By Imran Ghafoor · Python · Flask · React · PyMuPDF · Tesseract · Groq · GPT-OSS · Docker · Render A receipt looks simple until you try to turn it into reliable software data. The vendor may be printed at the top, the date may use an unfamiliar form...
post-cover-32793
  • artificial-intelligence
  • python
  • machine-learning
  • open-source
Ruvarashe S Nemaramba • 3 days • in Articles • 3 min read
Artificial intelligence seems like a very complex thing packaged in a simple box. It's this magic concept of creating intelligence from something that otherwise wouldn't have any intelligence at all. Giving machines, just a bunch of 1s and 0s, electr...
post-cover-32757
  • artificialintelligence
  • machine-learning
  • deeplearning
  • programming
KickingTheTV • 3 days • in Articles • 11 min read
Originally published at three.devhttps://three.dev/blog/detect-and-fix-your-agent-failures?utmsource=coderlegion&utmmedium=referral&utmcampaign=blog-distribution-loop&utmcontent=original-post&ref=coderlegion-blog-distribution-loop. More and more com...
post-cover-32741
  • ai
  • llm
  • machine-learning
  • programming
Hyper Agency • 4 days • in Articles • 9 min read
Seven AI models, 20 political questions: A study ahead of the US midterms. Most AI models selected Republicans on major policy questions but Democrats to control Congress, while giving overwhelmingly negative assessments of Donald Trump. The contra...
post-cover-32571
  • ai
  • llm
  • machine-learning
  • data-science
orcalayer • 4 days • in Articles • 4 min read
Multi-agent swarms are a popular way to get "more than one model" out of an LLM: generate dozens of personas from your documents, let them post and argue on a simulated social network, then read off what the crowd thinks. We tested one, the open-sour...
post-cover-32551
  • ai
  • llm
  • polymarket
  • machine-learning
Ken W. Algerverified • Oct 22 • in Articles • 12 min read
Five ways my own test harness lied to me, and the one that nearly got published The number that gave it away was sitting in a table I had already read three times. prompt size 97 tokens median, 112 max That is the grounded question-answering...
post-cover-30851
  • artificial-intelligence
  • machine-learning
  • testing
  • raspberrypi
Tom Smithverified • 14 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
the_tisa • Oct 20 • in Articles • 9 min read
AI Is Starting to Build Its Own Successor. Are Developers Ready? In May 2025, Google DeepMind introduced something that raised an interesting question about the future of artificial intelligence. Its system, AlphaEvolve, could generate algorithms,...
post-cover-31811
  • artificial-intelligence
  • ai-research
  • machine-learning
  • software-engineering
hiper2d • Oct 14 • in Articles • 21 min read
Someone built a torture chamber for small AI models, and the internet wanted it gone. I went through the paper it was built on to find out what a model's "pain" actually is. What is it about In late September 2026, a GitHub repository called ai-to...
post-cover-31067
  • ai
  • llm
  • machine-learning
  • ai-ethics
Hussein Mahdi • Oct 14 • in Discussions • 1 min read forumDiscussion group4 participants post-cover-30983
  • ai
  • math
  • deeplearning
  • machine-learning
Ken W. Algerverified • Oct 13 • in Articles • 15 min read
I spent a weekend running two small language models against three jobs I would normally hand to a language model without thinking about it. For one of those jobs I also wrote a regular expression, as a control. The regex won. Thirty test cases out o...
post-cover-30818
  • artificialintelligence
  • machine-learning
  • testing
  • raspberrypi
Nitin Repswal • Oct 7 • in Articles • 6 min read
I Built My Own Personal AI Assistant — Meet IRIS I've always wanted to build my own personal assistant. Not just another chatbot that answers questions, but something that could actually live on my computer and help me get things done. So I start...
post-cover-30075
  • artificial-intelligence
  • machine-learning
  • personal-ai
  • python
Sora Atilas • Oct 3 • in Articles • 9 min read
Reconstructing the Calculations and Testing Historical Data in GenesisCore From celestial observation records inscribed on Babylonian clay tablets millennia ago to Hellenistic geometry and Indian mathematical traditions, astrology evolved as an int...
  • astrology
  • machine-learning
  • software-architecture
  • research
Satyam671 • Sep 29 • in Articles • 8 min read
> PrismML’s 2-billion-parameter 1-bit Bonsai model moves vision, memory > and reasoning onto the device itself, and shows why quantization might > be the real key to practical local wearable AI. A few months ago, I built a small project for myself, ...
post-cover-29044
  • artificial-intelligence
  • llm
  • machine-learning
  • technology
haoli197654-ship-it • Sep 25 • in Articles • 1 min read
Jev AI turns shared state into typed decisions with probabilities. It is a TypeSafe AI System One model and developer platform for classification, routing, scoring, safety checks, and agent workflows through an online playground, SDK, or REST API. T...
  • artificial-intelligence
  • machine-learning
  • api
  • devtools
Ken W. Algerverified • Sep 22 • in Articles • 5 min read
Part 8 of the Building the AI Memory Stack series Over the past seven articles we've built an architecture that treats memory as infrastructurehttps://sovereignplatform.dev/terms/memory-as-infrastructure.html?utmsource=coderlegion&utmmedium=article&...
post-cover-26166
  • artificial-intelligence
  • machine-learning
  • llm
  • software-architecture
AIAppsAPI • Sep 18 • in Articles • 2 min read
Most of the machine learning posts here are about training. This one is about the part after training, when the model has to answer over HTTP and you would rather not rent that by the request. The usual path is to save the trained artifact, put Fast...
  • machine-learning
Rashmi.N.S • Sep 6 • in Articles • 7 min read
The time our AI kept a memory from an earlier chat we were very excited. It felt like magic. ✨ We had created a system that could carry facts from one interaction to the next. Than starting from scratch each time the AI could use facts from earlier...
  • stateful-ai
  • artificial-intelligence
  • ai-development
  • machine-learning
Ken W. Algerverified • Sep 3 • in Articles • 3 min read
Part 6 of the Building the AI Memory Stack series At the end of the last article, I left one question unanswered. > Can you prove this record is exactly what was written? Write-Side Custodyhttps://sovereignplatform.dev/terms/write-side-custody.htm...
post-cover-26097
  • artificial-intelligence
  • machine-learning
  • llm
  • software-architecture
Iyanuoluwa_Oke • Aug 30 • in Articles • 10 min read
We spend a lot of time asking how intelligent an AI model is. How accurate is it? How fast is inference? How well does it perform against a benchmark? How many parameters does it have? Those questions matter. But when I build AI systems intended...
post-cover-25806
  • artificial-intelligence
  • machine-learning
  • software-engineering
  • ai-governance
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