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Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review
- OpenAI provides Deep Research as part of its subscription plans, offering varying levels of access and capabilities.
- Deep Research allows for multi-step research on the web and promises to reduce research time significantly.
- The process involves NLP for understanding questions, thorough information searches using diverse sources, and summarization using AI models.
- Transformers and Attention mechanisms prioritize key information, ensuring concise and credible summaries.
- Final reports are generated using NLG, providing easily readable content with diagrams or tables if requested.
- Deep Research aims to fulfill the systematic investigation aspect of research but faces challenges in accuracy and reliability.
- Similar functions are available from other companies like Perplexity AI and Google's Gemini, suggesting a growing trend in deep research AI capabilities.
- OpenAI acknowledges limitations such as hallucinated facts, false conclusions, and difficulty in distinguishing credible information.
- Despite current limitations, Deep Research is expected to evolve into a powerful research tool, especially for complex inquiries.
- For simpler queries, using standard models like GPT-4o may be more appropriate.
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