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Most AI models are being trained on poor quality datasets: Rajeev Chandrasekhar

Most AI models are being trained on poor quality datasets: Rajeev Chandrasekhar

Most artificial intelligence (AI) models are being trained on datasets which are poorly designed which has undermined the quality of the end products, former Union minister Rajeev Chandrasekhar said on Monday.

In a post on social media platform X, the former minister said large language models’ (LLMs) “bullshit content” comes from most models being trained on content/datasets that are, “to politely use the phrase, not quality assured”.

“That is why you have the embarrassing sight of billion-dollar Gemini/ChatGPT on many occasions spewing nonsense,” said Chandrasekhar.

He was reacting to Ethan Mollick, Associate Professor at the Wharton School of the University of Pennsylvania in the US, who posted that the idea that “LLMs bullshit – produce content without regard to truth – is not new”.

“But I don’t think it is that helpful a framework, since, in the end, LLMs may be more accurate than humans in many tasks,” said the professor.

Chandrasekhar, former Minister of State for Electronics and IT, responded: “Garbage in, Garbage out is an old adage in programming especially if you are depending on scraping the internet”.

An X user posted that AI machines needed to be fed information and not intelligent to deconstruct or articulate like a human. “End of the day, the human mind still decides what the machine has to say,” she added.

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This report has been published as part of an auto-generated syndicated wire feed. Except for the headline, the content has not been modified or edited by Doonited

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