GoonIntroduction to Deep Research
Deep Research is a new feature introduced by OpenAI, which is currently available to all pro users of ChatGPT. This feature is a game-changer, as it can complete complex research tasks in just a few minutes, tasks that would have taken hours to complete manually. In this article, we will explore what Deep Research is, its capabilities, and how it compares to other AI models like Perplexity and Gemini Deep Research.
What is Deep Research?
Deep Research is an analyst and research assistant that can search through hundreds of online sources and create a compressed report at the level of a real research analyst. This model is particularly exciting because it is based on GBT-O3, the unpublished full model of OpenAI. GBT-O3 is what is being worked with in the background, making Deep Research a powerful tool for research tasks.
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Use Cases for Deep Research
Deep Research has many use cases, including market analyses, new product introductions, and medical research. For example, if a new product is to be introduced in a country, Deep Research can do a market analysis of how the product will behave. Additionally, Deep Research can be used to find a needle in a haystack, such as finding a specific TV show or movie.
Comparison to Perplexity and Gemini Deep Research
Deep Research is compared to Perplexity and Gemini Deep Research, two other AI models that are known for their research capabilities. Perplexity was one of the first well-known AI models for web search, and Gemini Deep Research was available before ChatGPT Deep Research. In a comparison test, Deep Research outperformed both Perplexity and Gemini Deep Research, generating a more detailed and accurate report.
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Hallucinations
One of the limitations of Deep Research is that it can hallucinate, or generate false information. This can happen when the model is not trained on a specific topic or when it is asked to generate text based on incomplete information. However, Deep Research is designed to ask questions and clarify information before generating a report, which can help reduce the likelihood of hallucinations.
Conclusion
Deep Research is a powerful tool that can revolutionize the way we do research. Its ability to search through hundreds of online sources and generate a compressed report at the level of a real research analyst makes it an invaluable resource for anyone looking to conduct research quickly and accurately. While it has its limitations, such as hallucinations, Deep Research is a game-changer in the world of AI research.
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Future Developments
The future of Deep Research is exciting, with plans to roll out the feature to more users and to integrate it with other AI tools, such as the Operator, a computer-using agent that can autonomously carry out tasks on the internet. The combination of Deep Research and the Operator will enable users to conduct research and carry out tasks in a more efficient and effective way.
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Use Cases for Businesses
Deep Research has many use cases for businesses, including market research, product development, and customer service. For example, a business can use Deep Research to conduct market research and gather information about their competitors, or to develop new products and services based on customer feedback.
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In conclusion, Deep Research is a powerful tool that can revolutionize the way we do research. Its ability to search through hundreds of online sources and generate a compressed report at the level of a real research analyst makes it an invaluable resource for anyone looking to conduct research quickly and accurately. With its many use cases and future developments, Deep Research is an exciting technology that will continue to shape the world of AI research.