Blog

Welcome to baljit.dev! This is where I'll be sharing my thoughts on AI development, enterprise .NET, and building real products.

Build a fully functional sentiment analysis API in just a few lines of Python using Hugging Face Transformers and FastAPI. Perfect for powering customer service bots or analyzing user feedback.

Context engineering is the process of optimizing instructions and context provided to an LLM. Most AI failures aren't model failures—they're context failures.

Embeddings convert text into arrays of numbers that capture meaning. Learn how to use them with vector databases to build semantic search, RAG systems, and recommendation engines.

Chunking is the foundation of a performant RAG system. Get it wrong and your system won't find the right information. Get it right and you get accurate responses with lower costs.

Transformers are the neural network architecture behind modern AI language models. Learn what they are and how to use Hugging Face Transformers to build with them.