Articles and insights in Machine Learning (3 posts)
A complete guide to Retrieval-Augmented Generation (RAG) for businesses, covering vector databases, embedding models, chunking strategies, and a full end-to-end implementation that makes AI models know your private data.
Master vector search architecture. Learn embedding models, similarity metrics, ANN algorithms, vector databases, and building semantic search applications.
I share my step-by-step process for fine-tuning open-source large language models like Mistral and Llama 3 for business needs, covering LoRA, dataset preparation, and deployment strategies.