Large-Language-Models on Ghafoor's Personal Blog

More About RAGs

noreply@example.com (AG Sayyed) — Fri, 11 Jul 2025 14:09:40 +0000

This document examines the limitations of large language models, such as outdated knowledge and lack of source attribution, and explains how retrieval-augmented generation (RAG) improves accuracy and reliability by integrating external information sources.

Introduction

Large language models (LLMs) are widely used for generating text in response to user prompts. While they can provide impressive answers, they also exhibit notable shortcomings, including producing outdated or unsourced information. These challenges can lead to incorrect or misleading responses.

Large Language Models

noreply@example.com (AG Sayyed) — Fri, 11 Jul 2025 02:06:56 +0000

Large language models (LLMs) are advanced AI systems trained on massive datasets to generate and understand human language. This document explores the foundation model paradigm, generative capabilities, and the impact of LLMs in business and technology, including prompting, tuning, and transfer learning.

Introduction to Large Language Models

Large language models (LLMs) are a type of foundation model designed to process and generate natural language. Unlike traditional AI models trained for specific tasks, LLMs are trained on vast amounts of unstructured data, enabling them to perform a wide range of language-related tasks.

Foundation Models

noreply@example.com (AG Sayyed) — Thu, 10 Jul 2025 23:00:00 +0000

This document clarifies the relationships among artificial intelligence, machine learning, deep learning, foundation models, generative AI, and large language models. It explains how these concepts fit together, their evolution, and their roles in modern AI applications.

Understanding AI and Its Key Terms

Artificial intelligence (AI) refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human thinking. AI has evolved over decades, with early examples like the Eliza chatbot from the 1960s, which could mimic human conversation to a limited extent.