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Learn to implement and deploy Jan-Nano 4B 128k Context, a specialized language model optimized for deep research tasks and Model Context Protocol (MCP) tool calling. Explore the technical capabilities of this 4B parameter model, which is a fine-tuned version of Qwen3, and discover how to integrate it with Ollama for local deployment. Set up a complete project environment and configure an MCP server to enable advanced tool calling functionality. Build a local AI agent that leverages the MCP framework for enhanced research capabilities, then test the implementation with PDF file processing to demonstrate real-world applications. Gain hands-on experience with model deployment, agent architecture, and the practical integration of large language models with external tools for research-focused AI applications.
