Nlp

A comprehensive guide to building Retrieval Augmented Generation (RAG) systems that combine the power of LLMs with your own knowledge base.

Understand how vector databases work under the hood, when to use them, and how to choose between Pinecone, Weaviate, ChromaDB, and Qdrant for your application.

Learn how Named Entity Recognition works, when to use different approaches, and how to train custom models for domain-specific entities.

A guide to text embeddings from Word2Vec to Sentence Transformers—how they work, when to use each type, and practical implementation patterns.

A conceptual deep-dive into the Transformer architecture that revolutionized AI. Learn the intuition behind attention, why it works, and how it powers modern language models like GPT and BERT.

Understanding CLIP - the breakthrough model that bridges vision and language, enabling AI to understand images through natural language without task-specific training.