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Cogito v1 Outperforms Llama 4 - Full Tutorial with LM Studio and LiteLLM

James Briggs via YouTube

Overview

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Learn how to deploy and use Cogito v1, a state-of-the-art open source LLM that outperforms Llama 4 in various benchmarks. This 25-minute tutorial demonstrates deploying Cogito v1 locally using LiteLLM and LM Studio, and shows how to implement full agent logic with tool use and function calling capabilities. Follow along as the video covers setting up Python with uv, loading the LLM in LM Studio, connecting Python to LM Studio, implementing LiteLLM integration, creating tools including a web search tool, implementing tool calling functionality, and building a complete local agent. Access the accompanying article, code repository, and AI platform to enhance your understanding of this powerful open-weight language model.

Syllabus

00:00 Cogito v1
00:26 Local LLMs with LM Studio
02:38 Python Setup with uv
03:49 Loading our LLM in LM Studio
04:31 Using LM Studio with Python
05:17 Using LiteLLM with LM Studio
09:14 Tools and Agents
12:29 Create a Web Search Tool
16:19 Tool Calling with LiteLLM
20:54 Building a Local Agent

Taught by

James Briggs

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