AI Text Generation

Retrieval-Augmented Generation (RAG) enhances LLM text generation using external knowledge

Editor2 weeks ago2 weeks ago08 mins

Retrieval-Augmented Generation (RAG) enhances LLM text generation by incorporating external knowledge sources, making responses more accurate, relevant, and up-to-date. RAG combines an information retrieval component with a text generation model, allowing the LLM to access and process information from external databases before generating text. This approach addresses challenges like domain knowledge gaps, factuality issues, and hallucinations often…

How do LLMs work from tokenization, embedding, QKV Activation Functions to output

Editor4 weeks ago3 weeks ago045 mins

Course Introduction: How Large Language Models (LLMs) Work What You Will Learn: The LLM Processing Pipeline In this course, you will learn how Large Language Models (LLMs) process text step by step, transforming raw input into intelligent predictions. Here’s a visual overview of the journey your words take through an LLM: Module Roadmap You will…

Foundations of Large Language Models: Understand How LLMs Like GPT Work

Editor2 months ago2 months ago042 mins

Large language models originated from natural language processing, but they have undoubtedlybecome one of the most revolutionary technological advancements in the field of artificial intelligence in recent years. An important insight brought by large language models is that knowledgeof the world and languages can be acquired through large-scale language modeling tasks, andin this way, we…

Understanding the Layers of Large Language Models (LLMs) and How Data Passes Through Them

Editor3 years ago6 months ago012 mins

Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) are a class of deep learning models that have revolutionized natural language processing (NLP).