But WHY. Because it increases:. Efficiency: Reduces the need for large datasets for every new task.
10 Oct 2023, 19:49
But WHY?
Because it increases🔼:
✅Efficiency: Reduces the need for large datasets for every new task
✅Flexibility: Can be applied to various learning problems, from classification to regression to reinforcement learning.
8/10
Same news in other sources
210 Oct 2023, 19:55
We at @real_alethea are dedicated to democratizing ownership of AI, and true democratization cannot happen without AI Literacy.
Follow @real_alethea for more on AI and Web3!🔔
RT 🔁to share it with your friends and Bookmark this for the future.
10/10
We at @real_alethea are dedicated to democratizing ownership of AI, and true democratization cannot happen without AI Literacy.
We at @real_alethea are dedicated to democratizing ownership of AI, and true democratization cannot happen without AI Literacy.
Follow @real_alethea for more on AI and Web3!🔔
RT 🔁to share it with your friends and Bookmark this for the future.
10/10
10 Oct 2023, 19:54
Is it really all rainbows and unicorns?🌈🦄
No! There are some problems like high computational costs and overfitting.
But @awscloud offers services like SageMaker to solve that.
Learn more about how we're using AWS's services here:
/AWSstartups/status/1709618705099850191?s=20
9/10
Is it really all rainbows and unicorns. There are some problems like high computational costs and overfitting.
Is it really all rainbows and unicorns?🌈🦄
No! There are some problems like high computational costs and overfitting.
But @awscloud offers services like SageMaker to solve that.
Learn more about how we're using AWS's services here:
/AWSstartups/status/1709618705099850191?s=20
9/10