https://bergstrom.org/tags/llm/LLM - Tag - Jorgen BergstromHugo -- gohugo.ioen-usJorgen BergstromSat, 19 Oct 2024 00:00:00 -0500https://bergstrom.org/posts/install_llama_cpp_and_gemma/Sat, 19 Oct 2024 00:00:00 -0500Jorgen Bergstromhttps://bergstrom.org/posts/install_llama_cpp_and_gemma/Installation Learning how large language models (LLMs) like ChatGPT and Gemini work can be both fascinating and empowering. While using them through APIs is convenient, running one locally on your own computer unlocks deeper understanding and control. Fortunately, setting up your own LLM on Linux or Windows is surprisingly straightforward. In this article, I will walk you through the simple steps to run a popular LLM like Transformers on your own computer.https://bergstrom.org/posts/can_chatgpt_predict_hammer_distance/Sat, 01 Jun 2024 00:00:00 -0500Jorgen Bergstromhttps://bergstrom.org/posts/can_chatgpt_predict_hammer_distance/Introduction In my previous articles in this series I have shown how to calculate how far spherical object will fly based on its initial velocity and angle. I used both physics and machine learning methods to solve the problem. In this article I will examine how much of this can be completely automated using a large language model like ChatGPT 4o. Prompt: I am interested in predicting the distance as a function of the angle and velocity.