The article Chatgpt: What is Deep Research? Maria Gramsch first appeared on Basic Thinking. You always stay up to date with our newsletter.
Openai made his deep research function accessible to all paying chatt-users. So far, she was only reserved for Pro users in the premium tariff. We explain to you what Deep Research is and how the feature functions.
Chatgpt was released in November 2022. Since then, the AI has developed rapidly. Already in August 2024 – not even two years later – mother company counted Openai according to your own information Already 200 million weekly active chatt users.
In the meantime, the number has doubled to 400 million weekly active users, according to Openai-Coo Brad Lightcap opposite CNBC. The number of paying users also rises rapidly. Accordingly, Chatgpt currently has two million paying customers. In September 2024 there were still a million.
In addition to numerous other additional functions, all paying subscribers now have access to the so-called deep research function. We’ll tell you what that is and how the feature works.
Chatgpt: What is Deep Research?
So far, Deep Research was only reserved for Chatgpt Pro users in the premium tariff. However, all paying subscribers now have access to the function. This applies to all plus and team as well as all EDU and enterprise users. These can now make ten deep research queries per month. Pro users in the premium tariff meanwhile have up to 120 inquiries to start the function instead of 100 per month.
With Deep Research, profound, multi -stage research can be carried out. For this, the tool searches for information independently and evaluates various sources. “In this way, it can create thorough, documented and clearly cited reports on complex topics”, As Openaai promises.
Deep Research is primarily intended for researchers. Openai sees the areas of finance, science and law in the focus. According to company, the tool carries out “thorough, precise and reliable research”. The information in the results can be checked by users.
In addition to the actual research, Deep Research also provides source information and documents its results. According to Openaai, this form of deep research is particularly relevant for finding niche information, which can otherwise only be found via a multi -stage search on the network.
How does the research function work?
There is now an additional button in the input field at Chatgpt. There the tool Deep Research can be selected directly by clicking.
In addition to a normal written query, images, files or spreadsheets can also be sent as an attachment. This is intended to receive Chatgpt more context to the question, better classify them and adjust results accordingly.
If the research begins, users can track the research process in a sidebar. A summary appears there. It is also understandable which websites the tool accesses to get information.
A deep research query can take five to 30 minutes. This is because the AI tool evaluates long texts and numerous pictures in the background. In the future, Openai wants to complement this with pictures, data visualizations and other analytical results.
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The article Chatgpt: What is Deep Research? Maria Gramsch first appeared on Basic Thinking. Follow us too Google News and Flipboard.
As a tech industry expert, I believe that ChatGPT is a powerful tool that leverages deep learning and natural language processing to generate human-like text responses. Deep research in this context refers to the extensive training and development process that goes into creating a sophisticated language model like ChatGPT.
Deep research involves analyzing large datasets, fine-tuning algorithms, and continuously improving the model through feedback and testing. This process is crucial for ensuring that ChatGPT can understand and respond to a wide range of queries in a coherent and accurate manner.
Overall, deep research is essential for pushing the boundaries of AI technology and creating more advanced and capable language models like ChatGPT. It allows us to harness the full potential of deep learning and natural language processing to create intelligent and engaging conversational experiences.
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