Running LLMs Locally with Deno and Jupyter Notebooks

This article details the author's journey in setting up and using a local large language model (DeepSeek R1) with Deno, Jupyter Notebooks, Ollama, and LangChain.js. The author walks through the process, from setting up the environment and installing the model to writing the code and visualizing the results. The article highlights the ease and efficiency of Deno and Jupyter Notebooks for AI development, showcasing a smooth workflow and successful interaction with the local LLM. The ability to easily swap the local model for an API-based one is also mentioned.