We can use ollama.ai to run open source large language models locally. I can't promise that the output will be up to ChatGPT standards, but in a pinch, it will do. You can run the latest Mistral, Mixtral, Llama and Codellama models locally, without an H100 cluster. Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new AI Applications course, with my subscription service. $29 a month gives you instant access to over 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil