How to Run LLMs on Your Computer

How to Run LLMs on Your Computer

Large Language Models (LLMs) have revolutionized the field of natural language processing and artificial intelligence. These powerful models enable applications like language translation, text summarization, and content generation. The world of Large Language Models (LLMs) can be intimidating, especially with the associated costs. However, there are plenty of free and low-cost options available for those…

What is LLM Quantization?

What is LLM Quantization?

LLM quantization is the process of reducing the precision of numbers used to represent a model’s weights, typically converting from 32-bit floating point (FP32) to smaller formats like 8-bit integers (INT8) or 4-bit integers (INT4). Think of it like compressing a high-resolution image to a smaller file size while trying to maintain as much quality…

ChatGPT is not an LLM

ChatGPT is not an LLM

This is something that I have heard many times over the last few months that needs a bit of explanation… ChatGPT (Chat Generative Pre-Trained Transformer) is an application of a Large Language Model (LLM). It is an AI-powered application that enables human-like conversations and other text-based tasks. ChatGPT and other bots like it (see below)…

The difference between LLM and a Foundational Model

The difference between LLM and a Foundational Model

A Large Language Model (LLM) and a Foundational model are related but distinct concepts in the field of natural language processing. The main difference lies in their specialization and use cases. A foundational model is a general-purpose language model, while an LLM is a language model fine-tuned for specific conversational applications. The LLC builds upon…

ChatGPT vs. LLMs: Unveiling the Differences

ChatGPT vs. LLMs: Unveiling the Differences

Written by Microsoft Copilot 1. Transformer Architecture Both ChatGPT and LLMs share a common foundation: the transformer architecture. This powerful neural network structure has revolutionized natural language processing tasks. Its attention mechanisms allow for context-aware understanding, making it ideal for language modeling12. 2. Emergent Properties As LLMs grow in size (often surpassing 50 to 100…