Building a research assistant with o3-mini

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OpenAI just released o3-mini, which delivers the performance of -o1 with lower cost and faster speed. Here, we break down its capabilities, use cases, and how it compares to other models in the O-series family. First, we cover fundamental differences between reasoning models and chat models, understand when to use o3-mini, and then show practical o3-demonstration using Deep Research.

Repo:
https://github.com/langchain-ai/report-mAIstro

Video notes:
https://mirror-feeling-d80.notion.site/OpenAI-o3-mini-18d808527b17808eb77cc589f1977f50?pvs=4

Overview of reasoning models:
https://www.youtube.com/watch?v=f0RbwrBcFmc

Detailed video on building this research assistant from scratch:
https://www.youtube.com/watch?v=wSxZ7yFbbas

Timestamps:
0:00 Introduction to O3 Mini
1:00 O-Series Performance Analysis
2:00 How to Access & Use O3 Mini
2:30 Effective Prompting Strategies
3:00 Key Use Cases & Applications
4:00 Deep Research Demo
5:00 Report Planning Demonstration
6:00 Performance Analysis & Results
7:00 Final Thoughts & Recommendations