LLM

In this comprehensive exploration of modern AI and NLP, we cover the essential concepts transforming the field. Discover how Transformer-based architectures revolutionize natural language understanding, why chunking and indexing improve data handling, and how parameter-efficient fine-tuning techniques like LoRA enable large models to adapt with fewer resources. We also delve into retrieval-augmented generation (RAG) for better factual accuracy, vector databases for semantic search at scale, and the promise and challenges of Artificial General Intelligence.