Notes from the build.

The rapid progress in NLP is mainly due to large neural network models — but size comes at a cost. Here's our approach to compressing bge-m3 with synthetic data.

That's why we built llm-food — a FastAPI-based service that converts documents and URLs into clean, LLM-friendly Markdown with batch processing support.

Training a custom image classifier used to mean weeks of setup. AfterImage changes that — bring your data, get your model.

According to Gartner, over 85% of AI projects never make it to production. After talking to hundreds of enterprise teams, the reasons are almost always the same.