Summary
The video discusses OpenAI's Deep Research AI product, a tool for synthesizing online information to complete multi-step research tasks and generate reports. It mentions limitations for Pro users who pay $200 a month and are restricted to 100 uses, suggesting alternatives like Google's Deep Research and Deep Seek R1. Additionally, it introduces Browser Use, an AI tool for automating browser-based tasks and creating accurate reports, detailing the setup process involving Python, git, and playright requirements for web automation. The demonstration of generating reports with the Deep Research Agent showcases the use of LM configurations, Deep Seek API, and Reasoner model for tasks such as reinforcement models and large language models.
Introduction to OpenAI's Deep Research
Discussed OpenAI's new reasoning product called Deep Research, an AI agent that synthesizes large amounts of online information to complete multi-step research tasks and generate high-level reports.
Restrictions on OpenAI's Deep Research
Discussed the limitations of OpenAI's Deep Research for Pro users who have to pay $200 a month and are restricted to 100 uses per month, suggesting alternative tools like Google's Deep Research and Deep Seek R1 reasoning open-source alternative.
Introduction to Browser Use
Introduced Browser Use, an AI tool showcased multiple times on the channel, which operates alongside a browser to automate browser-based tasks and generate reports with high accuracy.
Setting Up Browser Use
Explained the process of setting up Browser Use by installing necessary tools like Python, git, and requirements for playright, creating a virtual environment, and activating commands to run Browser Use for functional web automation.
Generating Reports with Deep Research Agent
Demonstrated the process of generating reports with the Deep Research Agent, showcasing the use of LM configuration tab, Deep Seek API, and Reasoner model to generate reports on reinforcement models and large language models.
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