Learning & Exploration

Deep dives into AI research, technical implementations, and lessons learned along the way.

Natural Language Processing•12 min read

Building RAG Systems: Beyond Basic Implementations

Deep dive into implementing production-ready Retrieval Augmented Generation systems. Learn about advanced vector indexing, chunking strategies, and how to evaluate RAG performance using both quantitative and qualitative metrics.

Vector Databases

Computer Vision•15 min read

BLIP Model Architecture: Vision-Language Understanding

Exploring the architecture of BLIP (Bootstrapping Language-Image Pre-training) models. Understanding how these models bridge the gap between vision and language tasks, with practical examples of image captioning and visual question answering.

Computer Vision

MLOps•18 min read

MLOps Best Practices: From Prototype to Production

A comprehensive guide to MLOps practices that I've learned while deploying AI models. Covering monitoring, versioning, A/B testing, and maintaining model performance in production environments.

System Design•10 min read

Optimizing FAISS for Large-Scale Vector Search

Technical insights into optimizing FAISS for efficient similarity search at scale. Exploring different index types, GPU acceleration, and techniques for handling millions of vectors with minimal latency.