Build your own Deep research reasoning agent - with O3 mini / Deepseek R1
Updated: February 25, 2025
Summary
The video introduces the O3 Mini model, which is four times faster than previous models and suitable for real-world applications. It discusses the fine-tuned O3 model in the CH GBT release, showcasing superior results for research tasks. The video explores how reasoning models like O3 Mini are shaping research tasks, focusing on inference stage advancements and the potential for building autonomous agent systems. Additionally, it touches upon the importance of utilizing tools and platforms like API files, Rapid API, and tool schemas for efficient research in various verticals. The video emphasizes the versatility of AI agents in complex research tasks and highlights the optimization of model performance for advanced research capabilities.
Introduction of O3 Mini Model
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.
Deep Research Mode in CH GBT
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.
Reasoning Model Capabilities
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.
Comparison of Reasoning and Normal Agents
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.
Utilization of Deep Research Agent
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.
Enhancing Vertical Research Tools
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.
Complex Research Queries
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.
Optimizing Model Performance
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.
FAQ
Q: What is the O3 Mini model and what unique support does it offer?
A: The O3 Mini model is introduced as being four times faster than previous models and is suitable for real-world applications, with a focus on function calling structur output.
Q: How does the O3 model in the CH GBT release compare to normal GBD for old-based research?
A: The fine-tuned O3 model in the CH GBT release showcases superior results compared to normal GBD for old-based research, enabling deeper research planning and synthesis actions.
Q: How are reasoning models like O3 Mini shaping research tasks?
A: Reasoning models like O3 Mini are focusing on inference stage advancements and the potential for building autonomous agent systems for enhanced performance in research tasks.
Q: What is the benefit of utilizing meta-introduced tools for comparing reasoning agents versus normal agents in research tasks?
A: Meta-introduced tools help in evaluating performance and task completion, providing insights into the efficiency and effectiveness of reasoning agents compared to normal agents in research tasks.
Q: How do deep research agents using reasoning improve research tasks?
A: Deep research agents enhance research tasks by improving reasoning accuracy, speed, and operational tools through model-defined conversations and a wide range of platforms.
Q: What tools and platforms are mentioned for improving specific vertical research tasks?
A: API files, Rapid API, and tool schemas are highlighted as tools and platforms for improving specific vertical research tasks, emphasizing the importance of choosing the right tools for efficient research.
Q: How do deep research agents address complex research queries?
A: Deep research agents have the ability to extract specific information like fish species, movie references, and ZIP codes, showcasing the versatility of AI agents in diverse research tasks.
Q: Why is the optimization of model performance important for complex tasks?
A: The optimization of model performance is crucial for complex tasks, and swapping to AI Mini models is highlighted as a way to adapt to the new era of advanced agents for improved research capabilities.
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