Minimal code required to simulate and fit a basic reinforcement learning model (vaguely aka Q-learning model, vaguely aka Rescorla-Wagner model) -Inspired by the ...
NOTE: Using a Bash terminal is recommended for the set up. It is assumed Python and Conda have been installed. Also worth noting that SciSpacy requires python==3.11 to work in MacOS M1, M2 and M3 ...
This document contains a basic tutorial and training exercise for using the GIS routing model to route output from the Running a spatial domain simulation tutorial. Source code and documenation for ...
Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...
In this detailed tutorial, we will explore OpenAI's Model Distillation—a method that allows you to take a powerful, large AI model and create a smaller, optimized version of it without compromising ...
x-Tesla AI lead, Andrej Karpathy gave a one hour general-audience introduction to Large Language Models. The core technical component behind systems like ChatGPT, Claude, and Bard. What they are, ...
ABSTRACT: Douala-Cameroon is a growing city with huge number of cars and motorcycles plying the roads, especially during rush hours. These automobiles emit exhaust gases, leading to atmospheric ...
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