tokenization

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

Editor3 weeks ago3 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 LLMs Work: Step-by-Step Explanation

Editor5 months ago2 months ago066 mins

What is a large language model (LLM)? Large Language Models are machine learning models that employ Artificial Neural Networks and large data repositories to power Natural Language Processing (NLP) applications. An LLM serves as a type of AI model designed to be able to grasp, create, and manipulate natural language. These models rely on deep…

How a Large Language Model (LLM) predicts the next word

Editor5 months ago2 months ago012 mins

How a Large Language Model (LLM) predicts the next word, including all the mathematical operations involved at each step, with the appropriate vector and tensor manipulations.

Large Language Models

Editor6 months ago2 months ago035 mins

Course on Large Language Models NOTE: You’re only meant to change code marked with “# TODO:” Table of Contents Setting Up API Key Configuration Connecting to OpenAI API Exploring the API Creating Chat Completions Understanding Completion Parameters Prompt Engineering Crafting Effective Prompts Strategies and Best Practices Advanced Techniques Utilizing Embeddings Function Calling in LLMs Extras…