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ChatGPT's New Task Scheduling Feature | Baby Step to the Agentic Era?
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Hello everyone, welcome back to the MatVidProAI YouTube channel. Today, I'm diving into ChatGPT's brand new feature: tasks within ChatGPT. This innovative addition allows users to schedule actions and reminders directly within ChatGPT, be it a one-time appointment or recurring updates like daily news. Powered by the new GPT-4.0 model with scheduled tasks, users can manage up to 10 tasks simultaneously. I'll explore examples like daily affirmations, fantasy basketball recaps, weekly meal plans, and more, assessing the feature's effectiveness and potential. Despite some limitations and the fact that it’s in beta, this could mark the beginning of ChatGPT's agentic era, where more autonomous functionalities are introduced. Join me as I test this feature and discuss potential improvements for a smarter, more integrated AI future. Thanks for watching, and I'll see you in the next video!
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Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe!
All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them.
00:00 Introduction and New Feature Announcement
00:23 Overview of ChatGPT Tasks
01:56 Examples of Scheduled Tasks
04:12 Hands-On with ChatGPT Tasks
06:51 Limitations and Issues
12:26 Future Potential and Comparisons
15:51 Community Feedback and Final Thoughts
19:08 Conclusion and Wrap-Up
▼ Link(s) From Today’s Video:
-------------------------------------------------
▼ Extra Links of Interest:
Let's work together!
Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe!
All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them.
00:00 Introduction and New Feature Announcement
00:23 Overview of ChatGPT Tasks
01:56 Examples of Scheduled Tasks
04:12 Hands-On with ChatGPT Tasks
06:51 Limitations and Issues
12:26 Future Potential and Comparisons
15:51 Community Feedback and Final Thoughts
19:08 Conclusion and Wrap-Up
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