Build your own Deep research reasoning agent - with O3 mini / Deepseek R1

Introduction of the O3 Mini model and its unique support for function calling structur output, being four times faster than previous models, making it suitable for real-world applications.

Discussion on the fine-tuned O3 model in the CH GBT release, showcasing superior results compared to normal GBD for old-based research, enabling deeper research planning and synthesis actions.

Exploration of how reasoning models like O3 Mini are shaping research tasks, focusing on inference stage advancements and the potential for building autonomous agent systems for enhanced performance.

Conducting a side-by-side comparison of reasoning agents versus normal agents in research tasks, utilizing meta-introduced tools for evaluating performance and task completion.

Explanation of how deep research agents using reasoning can improve research tasks by enhancing reasoning accuracy, speed, and operational tools through model-defined conversations and a wide range of platforms and tools for research.

Introduction to tools and platforms like API files, Rapid API, and tool schemas for improving specific vertical research tasks, emphasizing the importance of choosing the right tools for efficient research.

Addressing complex research queries using deep research agents, showcasing the ability to extract specific information like fish species, movie references, and ZIP codes, demonstrating the versatility of AI agents in diverse research tasks.

Discussion on the optimization of model performance for complex tasks by swapping to AI Mini models, highlighting the importance of adapting to the new era of advanced agents for improved research capabilities.