Ty Dunn, Co-founder of Continue, discusses how to effectively set up and use the Continue coding assistant alongside Ollama, both of which can be integrated into Visual Studio Code and JetBrains using open-source large language models (LLMs). The post outlines the process of installing Continue and Ollama on various operating systems, recommending the use of different models such as Mistral AI’s Codestral 22B, DeepSeek Coder 6.7B, and Llama 3 8B for tasks like autocomplete and chat, depending on the user's VRAM capacity. The article also explores utilizing nomic-embed-text embeddings with Ollama for efficient codebase querying, fine-tuning StarCoder 2 on development data for better suggestions, and leveraging the @docs feature to access documentation for further learning. Dunn encourages users to join the Continue or Ollama Discord channels for support and to enhance their understanding and usage of these tools.