"The Data Race: Tech Giants' Quest for AI Training Sources"
TL;DR
Tech companies like Google, Meta, and OpenAI rely on vast quantities of online data to train their artificial intelligence models, with the success of AI hinging on the amount of data available. Large language models, such as OpenAI's GPT-3, have been trained on hundreds of billions to trillions of "tokens," which are essentially words or pieces of words, highlighting the critical role of data in the development of artificial intelligence.
Topics:businesstechnology#artificial-intelligence#data#large-language-models#online-data#tech-companies#technology
- Four Takeaways on the Race to Amass Data for A.I. The New York Times
- Meta is desperate for new data sources to train its AI Business Insider
- How Tech Giants Cut Corners to Harvest Data for AI Yahoo News
- Inside Big Tech's underground race to buy AI training data Reuters
- Why OpenAI and Other Data-Hungry AI Companies Need a Bigger Internet - WSJ The Wall Street Journal
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