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Ayush Maurya

AI Pioneer • 6m

BREAKTHROUGH INSIGHT: Most people train AI models. Smart people fine-tune AI models. But the real secret? Learning to dance with AI's existing knowledge. Stop forcing. Start flowing.

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Gokul sai ATTULURI

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Audisankara College of Engineering and Technology • 5m

How much data does india have to train an ai.

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Aryan patil

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Monkey Ads • 1y

Train your Ai model for free here 👇 no. Technical skills required to do this. You can train an image,audio,pose models here...

3 Replies
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Tanzeem Shaikh

Being not creating • 3m

There is no way AI can develop more. Elon Musk fed all of the data on grok 3 and there is no more data left. Yes AI can develop how to talk like a human. but is this really what we wanted? So the future development of AI is as follows the existing AI

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Aryan patil

Building SwapEat | I... • 1y

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

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arjun s

Future CEO BITCH ! • 7m

Can I know the real cost of Running a vertical ai startup ? Let's say I take a base model like " Claude latest model " train it with my data of the niche Market. what's the COST TO RUN IT ?? NOT TO TRAIN or creating the product ( AI ) eg : ai fo

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Sajin

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Foundation • 8m

Do you believe it was ethical for OpenAI to use publicly available internet data to train its models, even though this approach has raised concerns about copyright and data usage rights?

4 Replies
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nuthan kalyan

Data Enthusiast • 10m

I had been thinking about this. The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI. But don't you think this is too much risk and it should be regulated. T

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Mohammed Zaid

Building-HatchUp.ai • 9m

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.

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