
GPT-4, Llama-2, Claude: How Different Language Models React to Prompts
Last Updated on November 5, 2023 by Editorial Team
Author(s): Louis Bouchard
Originally published on Towards AI.
Exploring the unique behaviors of different Large Language Models (LLMs) and mastering advanced prompting techniques!
Originally published on louisbouchard.ai, read it 2 days before on my blog!
https://www.youtube.com/embed/AOeKFlSLMOA
Large language models are quite different from each other. From how they understand the world to how you use it, they will react differently, which means different prompts affect the models differently. Let’s dive into the differences between models and better ways of prompting them with a new, very cool approach that came out a few days ago!
(left) Llama-2 answer and (right) ChatGPT answer for the same prompt.
Why do different models like GPT-4, Llama-2, or Claude react differently depending on the prompt sent? This is because they understand the… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.