An AI model can state something false with complete confidence — a made-up citation, a function that doesn't exist, a wrong date. Here's why hallucinations happen, why the next model release won't simply fix them, and how to work with them in practice.
The context window is how much text a model can 'see' at once — and it matters more the longer your conversation or document gets. I look at what context windows actually are, why making them bigger isn't the whole fix, and how I handle the limit in practice.
Model Context Protocol connects AI applications to tools and data through a common open standard. I look at how MCP works, why regular APIs aren't enough on their own, and why it makes sense for practical AI agents.
A detailed comparison of Google Colab's compute units consumption across different computing instances. This article evaluates the cost-effectiveness of options like Tesla T4 and A100 GPUs, as well as CPU and TPU instances.
I'm launching a new hobby deep learning project ThisBeachDoesNotExist.com - a synthetic beach image generator. StyleGAN2-ADA network trained in non-square HD resolution 1280x768 on a dataset with ~20,000 images of the beach.