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How to Build Your Own Deep Research

Blog post from PromptLayer

Post Details
Company
Date Published
Author
Jonathan Pedoeem
Word Count
1,533
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

OpenAI's Deep Research is an autonomous AI tool designed to perform complex, multi-step internet research tasks and produce comprehensive reports, much like a human researcher would, but in a fraction of the time. It excels in strategic planning, task decomposition, and iterative searching while engaging in multi-modal analysis of various content types, including HTML, PDFs, and images. The core of Deep Research is OpenAI's o3 reasoning model, a successor to GPT-4, optimized for maintaining focus through extended reasoning chains using a Plan → Act → Observe → Update cycle. This AI agent also features capabilities for executing code to analyze data, ensuring its outputs are thorough, well-structured, and fully cited, with the ability to backtrack, pivot, and verify sources when necessary. Although computationally expensive, Deep Research represents a significant advancement in AI-driven knowledge work, capable of handling research tasks that traditionally require extensive human effort, thereby providing a blueprint for developers to build their own AI research assistants.

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