Overview
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This video tutorial explores how to get started with Qwen QwQ both online and locally using Ollama, comparing it to DeepSeek R1 from a training perspective through detailed blog post analysis. Learn how the model performs with math, coding, and function calling tests using Model Context Protocol (MCP), with direct comparisons to DeepSeek R1, O3-mini, and Claude 3.7. The tutorial covers base models and reasoning models, demonstrates math chain-of-thought capabilities across different models, examines Qwen QwQ's training methodology, provides step-by-step instructions for running QwQ on Ollama and OpenWebUI, and explores practical applications including tokenization, logic, React app coding, cosine similarity, the Dartmouth calculator, and function calling implementation.
Syllabus
00:00 - Introduction
01:05 - base models + reasoning models
02:25 - math cot with qwen
03:20 - math cot with o3-mini
04:16 - math cot with deepseek r1
06:00 - qwen qwq blog post
08:00 - qwen qwq training
12:15 - running qwq on ollama
15:20 - running qwq with openwebui
17:00 - tokenization and logic
18:40 - coding react apps
20:10 - cosine similarity
21:57 - dartmouth calculatior
23:15 - function calling using MCP
Taught by
Chris Hay