Openai will announce a new Chatgpt agent for a deep research task
Openai has introduced Deep Research, a state -of -the -art tool announced during YouTube’s live stream and announced by members of Washington. This tool promises to revolutionize research by running a complex task with surprising speed and efficiency.
Important highlights of deep research
Announcement: Openai’s founder SAM Altman introduced deep research on microblog platform X and is called a “superpower” for experts. You can carry out complex research and provide reports in a part of time and expenses. Efficiency: Kevin Weil, Openai’s highest product manager, explained that deep -searching tasks usually take 30 to 30 days in 5-30 minutes.
Technology progress and function
Agent AI: Deep Rice marks an important step for “Agent AI”, which allows you to enable autonomous multi -step research on the entire Internet and run human -like tasks without supervision. Real -time data access: Unlike the previous model, it can access deep -searching data, which has a potentially long response time for complicated processing. AGI’s goal: Openai is regarded as a major movement to artificial general information (AGI). Human level.
Targeted industries and availability
Professional use: Initially, it was intended for engineering, finance, literature, and biology experts, but this tool can be used by Openai’s $ 200 professional users. Calculation requests and tasks can take 5-30 minutes depending on the complexity, but the results include quotes and clear inferences, but occasionally inaccurate.
The road for deep research
This launch is based on the previous tools of Openai for online tasks such as shopping and reservations, but deep -searching will be further advanced by integrating and presenting data from the Internet in a concise and well -documented report. I am.
Important information
Function: Save time and cost of survey in the knowledge -intensive field. Possibility: Available for users of $ 200 per month/monthly, planned to expand to $ 20 per month. Output time depends on complexity. Task period: 5-30 minutes. Transparency: The output is quoted, but occasionally may occur.
In conclusion, Deep Research has a great leap in AI development and will provide experts with powerful tools while advancing for a more autonomous AI system.
