News and resources on data science, machine learning, and AI.

Running a 70B model in production is expensive, and for many tasks, unnecessary. If you're building a focused pipeline, a well-trained 3B model will match or beat the 70B on your specific task at a fraction of the cost.

Learn how to use generative AI at work, build RAG and agentic apps, fine-tune models, work with the Hugging Face ecosystem, and prototype AI products with hands-on resources.

Learn how blending RAG and fine-tuning creates more effective AI support experiences.

Discover the six essential tools AI engineers need in 2026 to build and deploy production-grade autonomous systems.

Learn about the best web crawling tools for collecting website content, crawling subpages, generating clean web data, and powering AI agents.

GitHub Agentic Workflows are in public preview. Find out all about them here.

Learn to implement a repeatable pipeline that cleans a CSV, finds the story, and writes it up.

The All-In-One AI Powerhouse: A Comprehensive Review of Abacus AI’s Full Ecosystem An in-depth look at how the platform integrates 100+ AI models, autonomous agents, and a complete developer suite into a single, cost-effective workflow for teams and power users.

uv is making my life easier by giving me one fast tool for package installation, virtual environments, lock files, Python versions, and running project commands.

From quantization to speculative decoding, here are seven engineering strategies to ship faster, more responsive generative AI applications in production.