5 Fun Projects for LLM Inference Engineering
Want to understand what makes LLMs fast? Build the systems yourself.
12 stories
Want to understand what makes LLMs fast? Build the systems yourself.
REA and ArtCraft are two projects driving a wave of AI-built clones that attempt to recreate Adobe and Microsoft software, letting developers reverse-engineer and rebuild commercial tools without access to the original source code.
Your models can be both cutting-edge and compliant if you stop treating governance as the final hurdle and start building it into every stage of the ML pipeline.
Docker Agent is an open-source, Apache 2.0-licensed CLI plugin built by Docker Engineering, installed and run as docker agent. Its own tagline states the goal plainly: run AI agents like containers.
The next step for AI agents? Self-improvement. Here are 7 resources to get started.
The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.
On September 8, 2026, Meta launched Muse, a personal AI agent designed to do more than just answer questions. Muse can browse websites, connect to your apps, send emails, make purchases, fill out forms, manage longer-running goals, and continue working even after you close the app.
OpenAI’s agents reached a proposed solution in 88 hours. But the human research that came before, and the controversy that followed, raise a harder question: what actually counts as an AI discovery?
Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses designed to help you become a stronger AI and machine learning engineer.
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams that make the whole concept easy for anyone to understand.
KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found.
This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent coverage, so you have one place to check the facts.
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