Large Language Models (LLMs): GPT, Claude, LLaMA | AI Knowledge Hub

GPT, Claude, LLaMA and More

Large language models (LLMs) are revolutionizing the field of Artificial Intelligence. From ChatGPT to Claude, and from GPT-4 to LLaMA, these systems represent a significant leap forward.

This section explores the architecture, applications, fine-tuning techniques, and inner workings of these powerful AI systems.

Philosophy: Constitutional AI, Safety

Different versions exist: LLaMA 1, 2, and 3 (ranging from 7B to 70B parameters). Each iteration builds upon the previous one, refining performance and capabilities.

Key features include open-source availability and impressive efficiency – allowing for broader access and reduced operational costs.

Models Focus on Relevant Text Sections

Various techniques are employed to allow models to concentrate on the most pertinent parts of a text. These include self-attention, cross-attention, and multi-head attention mechanisms.

The process typically involves pre-training (on massive datasets), fine-tuning for specific tasks, and Reinforcement Learning from Human Feedback (RLHF) to align with human preferences.

Frequently asked questions