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Type:AllNewsHow ToVideos
Category:AllCareer(15)DevOps(274)Machine Learning(296)Programming Languages(180)Security(108)Systems(139)Tools(161)Web Development(366)
How-ToMachine Learningvia Changelog

The state of homelab tech (2026)

Techno Tim joins Adam to dive deep into the state of homelab'ing in 2026. Hardware is scarce and expensive due to the AI gold rush, but software has n...

2w ago
Real-Time translated speech pipeline with Whisper and Soprano
How-ToMachine Learningvia DigitalOcean Tutorials

Real-Time translated speech pipeline with Whisper and Soprano

'In this tutorial, we walk through and demonstrate our pipeline for realtime speech translation into English using Deep Learning.'

James Skelton2w ago
How-ToMachine Learningvia Changelog

The era of the Small Giant

Damien Tanner (founder of Pusher, now building Layercode) is back for a reunion 17 years in the making. Damien officially returns to The Changelog to...

3w ago
How-ToMachine Learningvia Martin Fowler

Fragments: January 22

My colleagues here at Thoughtworks have announced AI/works™ , a platform for our work using AI-enabled software development. The platform is in its ea...

Martin Fowler (martin@martinfowler.com)3w ago
How-ToMachine Learningvia DigitalOcean Tutorials

Create and Implement Data Secure AI Workflows

Learn how to build secure AI workflows with added protections to prevent attacks, data leaks, and meet compliance requirements like HIPAA, COPPA, and...

Andrew Dugan3w ago
Multi-Head Attention Explained: Queries, Keys, and Values Made Simple
NewsMachine Learningvia DigitalOcean Tutorials

Multi-Head Attention Explained: Queries, Keys, and Values Made Simple

A simple and detailed explanation of multi-head attention, showing how multiple attention heads help transformer models understand context and relatio...

Shaoni Mukherjee3w ago
How-ToMachine Learningvia Martin Fowler

Conversation: LLMs and the what/how loop

A conversation between Unmesh Joshi , Rebecca Parsons , and Martin Fowler on how LLMs help us shape the abstractions in our software. We view our chal...

3w ago
FlashAttention 4: Faster, Memory-Efficient Attention for LLMs
NewsMachine Learningvia DigitalOcean Tutorials

FlashAttention 4: Faster, Memory-Efficient Attention for LLMs

FlashAttention 4 improves LLM inference with faster attention kernels, reduced memory overhead, and better scalability for large transformer models.

Adrien Payong3w ago
NewsMachine Learningvia Changelog

Kaizen! Let it crash

Gerhard is back for Kaizen 22! We're diving deep into those pesky out-of-memory errors, analyzing our new Pipedream instance status checker, and tryin...

3w ago
AI Model Collapse in Design Tools: Why Your Background Remover Is Getting Worse
How-ToMachine Learningvia SitePoint

AI Model Collapse in Design Tools: Why Your Background Remover Is Getting Worse

AI tools degrading over time? Same photo, same tool, worse results six months later. Here's what's happening and how to adapt. Continue reading AI Mod...

Tanya Donska3w ago
LangSmith Explained: Debugging and Evaluating LLM Agents
How-ToMachine Learningvia DigitalOcean Tutorials

LangSmith Explained: Debugging and Evaluating LLM Agents

Debug, trace, and evaluate LLM agents with LangSmith. Learn how LangSmith improves the reliability, observability, and performance of AI applications.

Adrien Payong3w ago
How-ToMachine Learningvia Stripe Blog

The three biggest agentic commerce trends from NRF 2026

Not only are the majority of retailers actively implementing, or have plans to implement, agentic commerce, but many are also moving to a more tactica...

0mo ago
How to Write and Implement Agent Skills
How-ToMachine Learningvia DigitalOcean Tutorials

How to Write and Implement Agent Skills

Learn how to create and implement Agent Skills for LLMs using the SKILL.md framework. Build modular, reusable capabilities for AI agents with speciali...

Andrew Dugan0mo ago
How-ToMachine Learningvia DigitalOcean Tutorials

How to Create Data for Fine-Tuning LLMs

Learn how to create, clean, and validate high-quality data for fine-tuning LLMs, including synthetic data generation and best formats.

Shaoni Mukherjee0mo ago
NewsMachine Learningvia Changelog

Linus Torvalds gets the AI coding bug

Linus Torvalds pushes AI generated code, Jordan Fulghum thinks this is the year of self-hosting, FracturedJson formats for compact / human readability...

1mo ago
From Python to Silicon: The AI Compute Stack Explained
NewsMachine Learningvia DigitalOcean Tutorials

From Python to Silicon: The AI Compute Stack Explained

This article covers the AI compute stack that provides layers of software to translate code into instructions that a physical GPU chip can understand.

Ryan O'Connor1mo ago
Pay As a Local
How-ToMachine Learningvia Airbnb Engineering

Pay As a Local

How Airbnb rolled out 20+ locally relevant payment methods worldwide in just 14 months By: Gerum Haile , Bo Shi, Yujia Liu , Yanwei Bai , Bo Yuan , Ro...

Gerum Haile1mo ago
Fragments: January  8
How-ToMachine Learningvia Martin Fowler

Fragments: January 8

Anthropic report on how their AI is changing their own software development practice . Most usage is for debugging and helping understand existing cod...

Martin Fowler (martin@martinfowler.com)1mo ago
How-ToMachine Learningvia DigitalOcean Tutorials

CrewAI: A Practical Guide to Role-Based Agent Orchestration

Learn CrewAI from scratch with this practical crash course on role-based agent orchestration. Explore agents, tasks, workflows, and real-world use cas...

Adrien Payong1mo ago
NewsMachine Learningvia The Pragmatic Engineer

The grief when AI writes most of the code

When AI writes almost all code, what happens to software engineering? There is grief involved for us developers, that's for sure.

Gergely Orosz1mo ago
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