Super Data Science: ML & AI Podcast with Jon Krohn 870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes
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Mar 14, 2025 Explore the groundbreaking capabilities of OpenAI’s Deep Research, a tool that revolutionizes literature reviews and accelerates research efficiency. Discover how it synthesizes findings with remarkable reasoning skills, outperforming competitors like Google. The discussion also highlights its practical applications in real-world scenarios, showcasing how it enhances productivity for researchers and students alike. Dive into the future of AI-driven research and its transformative potential!
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OpenAI's Deep Research Capabilities
- OpenAI's Deep Research excels at automating literature reviews, synthesizing numerous sources into a coherent report.
- It uses reasoning models, breaking complex queries into smaller tasks and iteratively synthesizing results.
Deep Research Training and Features
- OpenAI trained Deep Research using reinforcement learning, enabling it to plan and execute multi-step research trajectories.
- It can browse user files, generate graphs, embed images, and provide citations.
Humanities Last Exam Performance
- Deep Research achieved 27% accuracy on the Humanities Last Exam, significantly outperforming other models.
- This jump from previous benchmarks suggests rapid AI advancement in this area.