#RealMoonlightShow- Web3 AI Trend Introduction】
OpenAI and Google's press conferences have recently followed. After these major press conferences, there have been many sharings of users using AI tools.
So, are there any high-quality AI projects in Web3 that we can pay attention to? How can different users participate?
Let’s continue reading together!
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This time I want to talk about Nimble. It is a Binance MVB project and one of the few projects selected from more than 700 applied projects. Binance MVB means the Most Valuable Builder (MVB).
Earlier today, in the#AionBNBpicture released by BNB Chain’s official Twitter, you can also see Nimble on it!
In addition, Moonlight also found that among the 13 projects selected as the most valuable projects of Binance MVB in the seventh quarter, 5 were directly related to AI. It can also be seen that large institutions have been working hard to discover and support high-quality projects in the AI track.
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Today, Nimble also released a demonstration video of AI Notebook. In this demo video, it shows the seamless integration of Nimble SDK in AI Notebook, providing developers with an optimized experience.
Why choose Nimble’s AI Notebook?
Because it can simplify the entire process of AI agent creation and deployment.
Make complex tasks simpler. It also provides powerful AI tools, allowing creators to focus on innovation and creating value. Whether you are an experienced AI developer or a newbie in the AI field, Nimble's AI Notebook can provide the resources you need.
If you are interested in trying Nimble AI Notebook, please fill out this Google form to submit an application: https://forms.gle/wSWaz2a2Y2ieFj8G7
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Friends who want to know more can also check out other AI-related videos that Moonlight has released before!
This concludes our episode of Real Moonlight Show. Thank you again for watching. Thank you 😊
X/Twitter: https://twitter.com/Nimble_Network
Discord: https://discord.gg/nimble
Vision: https://www.nimble.technology/vision
White paper: https://nimble.technology/whitepaper
Github: https://github.com/nimble-technology
Blog: https://www.nimble.technology/media
