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Build It, Then Use It: How I wrote 435 AI engineering lessons from scratch

Rohit Ghumare5d ago • 6 min read

Build It, Then Use It: How I wrote 435 AI engineering lessons from scratch

The first time I wrote a tokenizer, I did it with a for loop. I counted byte pairs by hand, merged.....

#ai#machinelearning#agents#opensource

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From Govhack Win to Something That Actually Matters

ujja5d ago • 13 min read

From Govhack Win to Something That Actually Matters

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built Project.....

#devchallenge#githubchallenge#machinelearning#ai

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AI Agent Governance vs IAM vs DLP vs API Gateways: What Each One Actually Covers

Jesse Williams4d ago • 9 min read

AI Agent Governance vs IAM vs DLP vs API Gateways: What Each One Actually Covers

IAM, DLP, and API gateways are necessary parts of an organization's security stack. None of them...

#ai#security#agents#machinelearning

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OpenHuman Follows OpenClaw’s Rise, But With an Obsidian Brain

v. Splicer6d ago • 7 min read

OpenHuman Follows OpenClaw’s Rise, But With an Obsidian Brain

A few nights ago I watched someone demo OpenHuman from a folding table in a cramped apartment...

#ai#programming#productivity#machinelearning

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I'm not an ML engineer. I built one anyway.

Mohamed Zrouga4d ago • 5 min read

I'm not an ML engineer. I built one anyway.

Not because I wanted to — but because every tool I tried on ARM edge devices either needed the cloud...

#machinelearning#linux#security#go

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I just published Part 1 of "The Machine Learning Engineering Series", where I break down the full lifecycle: how raw data becomes a trained model, gets containerised, and ships as a live API that other engineers can actually build on.

Michellebuchiokonicha3d ago • 1 min read

I just published Part 1 of "The Machine Learning Engineering Series", where I break down the full lifecycle: how raw data becomes a trained model, gets containerised, and ships as a live API that other engineers can actually build on.

The Machine Learning Engineering Series ...

#api#docker#machinelearning#tutorial

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Michellebuchiokonicha3d ago • 5 min read

The Machine Learning Engineering Series

Part 1: From Scratch to Systems . This machine learning series will be a real ride. It’s...

#ai#machinelearning#deeplearning#software

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I Built a Neural Network Engine in C# That Runs in Your Browser - No ONNX Runtime, No JavaScript Bridge, No Native Binaries

Todd Tanner6d ago • 7 min read

I Built a Neural Network Engine in C# That Runs in Your Browser - No ONNX Runtime, No JavaScript Bridge, No Native Binaries

Eight months ago the creator of ILGPU told me supporting Blazor WebAssembly would be too difficult. ...

#csharp#machinelearning#webassembly#blazor

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I Built a Multilingual Spam Detection Dataset with 149K+ Messages Across 23 Languages

Arjun M3d ago • 4 min read

I Built a Multilingual Spam Detection Dataset with 149K+ Messages Across 23 Languages

Spam detection datasets are surprisingly bad once you move outside English. Most public datasets...

#data#machinelearning#nlp#showdev

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RAG Is Not Always the Answer Anymore: How AI Agents Search Code in 2026

Nimesh Kulkarni3d ago • 6 min read

RAG Is Not Always the Answer Anymore: How AI Agents Search Code in 2026

Why modern AI coding agents often use grep, file reads, symbols, and tests before reaching for vecto...

#ai#rag#programming#machinelearning

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Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

AK DevCraft4d ago • 7 min read

Running Local LLM - 0$ Personal Agentic AI Assistant - Part 3

Introduction Part 3 of the Zero Dollar personal AI Assistant series, running Local LLMs on...

#ai#llm#openclaw#machinelearning

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How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

Sergey Parfenov6h ago • 6 min read

How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

A practical, no-hype explainer of knowledge distillation in LLMs — the actual mechanics, why distill...

#machinelearning#ai#llm#deeplearning

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We Didn’t Just Train AI on the Internet. We Started Training It on Itself.

Arpit Gupta22h ago • 3 min read

We Didn’t Just Train AI on the Internet. We Started Training It on Itself.

There’s a quiet assumption in almost every AI discussion right now: “If we scale compute and...

#ai#machinelearning#datascience#claude

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Docker with AI: A Practical Guide to Running LLMs, Agents and MCP

Harsh Manvar3d ago • 7 min read

Docker with AI: A Practical Guide to Running LLMs, Agents and MCP

If you've been searching for how to actually use Docker with AI not just spin up a demo but run...

#ai#docker#machinelearning#llm

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Picking black or white text: a tiny trained model vs WCAG luminance

adousa5d ago • 5 min read

Picking black or white text: a tiny trained model vs WCAG luminance

If your UI lets users pick their own colors — tags, labels, calendar events, avatars generated from ...

#webdev#javascript#a11y#machinelearning

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Why I'm building Hyphae: provenance over prediction (and the 3-line baseline that tied it)

Mario Gutierrez3h ago • 5 min read

Why I'm building Hyphae: provenance over prediction (and the 3-line baseline that tied it)

A few months ago I set out to build a cognitive substrate without a large language model in the...

#rust#ai#opensource#machinelearning

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What happens when you hide embeddings but keep search working?

zahraarmantech2d ago • 3 min read

What happens when you hide embeddings but keep search working?

What happens when you hide embeddings but keep search working? I spent the last few months building...

#security#privacy#python#machinelearning

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Fine-Tuning Llama 3.2 3B on Medical QA: Week 2- Data Preparation

Nicholas (Kosisochukwu) Ugbala2d ago • 6 min read

Fine-Tuning Llama 3.2 3B on Medical QA: Week 2- Data Preparation

What Happened This Week Week 1 established the baseline. This week is where the actual...

#ai#programming#machinelearning#llm

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What a Fractional CTO Actually Ships at an AI Startup

Elena Revicheva6d ago • 6 min read

What a Fractional CTO Actually Ships at an AI Startup

Originally published on AIdeazz — cross-posted here with canonical link. You're building an AI...

#ai#programming#machinelearning

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Can Gemini Become an Offline AI Tutor? Lessons from Building Educational AI

Allan Kipruto6d ago • 6 min read

Can Gemini Become an Offline AI Tutor? Lessons from Building Educational AI

Can Gemini Become an Offline AI Tutor? Lessons from Building Educational AI This is a...

#devchallenge#googleiochallenge#machinelearning#ai

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From Tokens to Attention: My First Real Mental Model of LLMs

Upayan Ghosh5d ago • 5 min read

From Tokens to Attention: My First Real Mental Model of LLMs

NOTE - I intentionally simplified the vector mathematics concept here to keep things simple for a...

#ai#beginners#llm#machinelearning

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The Invisible Hijack: How AI Authority Laundering Tricks Vision Models

Alessandro Pignati2d ago • 8 min read

The Invisible Hijack: How AI Authority Laundering Tricks Vision Models

Today, Vision-Language Models (VLMs) like GPT-4o, Claude 3.5, and Gemini are becoming our primary...

#ai#cybersecurity#machinelearning#aisecurity

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Why Does AI Make Things Up? A Dev's Guide to Hallucination

Spicy5d ago • 4 min read

Why Does AI Make Things Up? A Dev's Guide to Hallucination

Quick version: LLMs don't look things up. They predict probable token sequences. When the model's...

#ai#developers#llm#machinelearning

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RAG Explained: How Retrieval-Augmented Generation Actually Works

Suraj Sharma4d ago • 2 min read

RAG Explained: How Retrieval-Augmented Generation Actually Works

A visual walkthrough of RAG's two pipelines — ingestion and query — covering chunking, embeddings, v...

#ai#machinelearning#llm#rag

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