Friend of the show, Matt Williams, explains how to run local ChatGPT and GitHub Copilot clones using Ollama and Docker's GenAI Stack. Topics include setting up LLM stacks, deploying models, utilizing RAG for customized responses, and integrating Docker for GPU utilization.
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insights INSIGHT
Ollama's Purpose
Ollama makes running LLMs locally easy, addressing data privacy and accessibility concerns.
Local LLMs offer advantages in speed and quality, even compared to cloud-based solutions like ChatGPT.
question_answer ANECDOTE
Offline Coding with Ollama
Matt Williams used local LLMs on a ferry with no internet access.
This highlights the offline capability of local LLMs, a key advantage over cloud-based alternatives.
volunteer_activism ADVICE
Installing Ollama
Install Ollama for a simplified LLM experience, avoiding complex hardware and software configurations.
Ollama streamlines model setup, similar to Docker's ease of use with containers.
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Bret and Nirmal are joined by friend of the show, Matt Williams, to learn how to run your own local ChatGPT clone and GitHub Copilot clone with Ollama and Docker's "GenAI Stack," to build apps on top of open source LLMs.
We've designed this conversation for tech people like myself, who are no strangers to using LLMs in web products like chat GPT, but are curious about running open source generative AI models locally and how they might set up their Docker environment to develop things on top of these open source LLMs.
Matt Williams is walking us through all the parts of this solution, and with detailed explanations, shows us how Ollama can make it easier on Mac, Windows, and Linux to set up LLM stacks.
DevOps and Docker Talk: Cloud Native Interviews and Tooling