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Intelligent Analysis
Leverage advanced AI to analyze complex research materials and synthesize insights across multiple sources
Comprehensive Synthesis
Get clear, actionable summaries that combine insights from hundreds of academic sources
Reference Management
Automatically organize citations and create bibliographies in multiple formats
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Work together seamlessly with team members on research projects and share findings instantly
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OpenAI Launches Deep Research Agent! Is it GROUNDBREAKING?
OpenAI has revealed a new agentic feature for ChatGPT called deep research, which can autonomously plan and execute multi-step trajectories to find necessary data, adapting to real-time information as needed. The deep research capability creates comprehensive reports with citations in 5-30 minutes.
- The deep research capability is designed to create comprehensive reports with citations and a summary of the research process, taking between 5 to 30 minutes to complete tasks.
- Users can submit queries through text, images, and additional files like PDFs or spreadsheets, enhancing the context for the research.
- The feature is available for ChatGPT Pro subscribers, with a limit of 100 queries per month due to computational costs.
- The accuracy of deep research has been reported at 26.6%, significantly higher than other models.
How Does ChatGPT Deep Research Compare to Other AI Models?
ChatGPT's Deep Research feature stands out with its autonomous research capabilities, information integration, and real-time learning abilities. With a 26.6% accuracy rate on benchmark tests, it significantly outperforms traditional models.
- Autonomous Research: Can independently conduct complex multi-step research tasks
- Information Integration: Analyzes text, images, and PDFs simultaneously
- Real-time Learning: Adapts research strategies based on real-time information
- Documentation: Automatically includes citations and source tracking
How ChatGPT Deep Research Handles Complex Research Tasks
ChatGPT's Deep Research feature employs a sophisticated multi-step approach to handle complex research tasks, combining automated information gathering with comprehensive analysis and real-time feedback.
- Multi-step Operations: Plans and executes complex research workflows automatically
- Information Synthesis: Extracts and combines data from multiple online sources
- Real-time Feedback: Shows research progress and sources in a sidebar
- Time Efficiency: Completes complex research in 5-30 minutes
What People Are Saying
R1 Deep Researcher
— Lance Martin (@RLanceMartin)January 25, 2025
Fully local research assistant w @deepseek_ai R1 + @ollama. Give R1 a topic and watch it search web, learn, reflect, search more, repeat as long as you want. Gives you a report w/ sources at end. All open source ..
OpenAI Deep Researcher thinks these jobs will be complete replaced by AI
— Agentic Workers (@agenticworkers)February 4, 2025
OpenAI's Deep Research is incredibly powerful and can do the work of an analyst or researcher in minutes instead of hours and days.
— Sid Bharath (@Siddharth87)February 4, 2025
4. Deep-Research
— Shubham Saboo (@Saboo_Shubham_)February 5, 2025
It performs iterative deep research by generating search queries, scraping websites with Firecrawl, and utilizing the o3-mini model (via OpenAI) for reasoning.
100% Opensource.
today we launch deep research, our next agent.
— Sam Altman (@sama)February 3, 2025
this is like a superpower; experts on demand!
it can go use the internet, do complex research and reasoning, and give you back a report.
it is really good, and can do tasks that would take hours/days and cost hundreds of dollars.
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