No-Code AI: How I Ran My First LLM Without Coding

In Part 3 of the "Learn AI With Me: No Code" series, the author shares their experience of running an open-source language model on a cloud GPU, specifically using Runpod’s interface and the text-generation-webui. Initially unfamiliar with GPU types, the author opted for a 4090 GPU for its availability and cost-effectiveness. They encountered challenges such as port confusion and model loading but eventually succeeded in deploying a large language model, Mistral 7B, to generate text without writing code. The author emphasizes the accessibility of AI tools like Hugging Face and Runpod, which allow beginners to experiment with AI models and highlights the importance of understanding storage management to avoid unnecessary costs. The journey is framed as a step toward demystifying machine learning and encouraging others to explore AI's potential, with a teaser for the next post on the computational demands of AI models.