AI training data has a big price tag, one best-suited for deep-pocketed tech firms. This is why Harvard University plans to release a dataset that includes in the region of 1 million public-domain books, spanning genres, languages, and authors including Dickens, Dante, and Shakespeare, which are no longer copyright-protected due to their age. The new […] © 2024 TechCrunch. All rights reserved. For personal use only.

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Harvard and Google to release 1 million public-domain books as AI training dataset

Harvard’s Library Innovation Lab lets everyone use 1 million books for AI training under its Institutional Data Initiative (IDI). The educational institution explains it will allow the world to benefit from these collections that it has preserved for years.  More importantly, these books will help build the world’s AI future by training AI models with quality information. Why Harvard encourages AI training Harvard Law Today reported that the uni…

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Harvard opens access to 1 million books for training AI models

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Harvard says it's releasing a high-quality dataset of ~1M public-domain books, created with funding from Microsoft and OpenAI, to help train LLMs and AI tools

The project’s leader says that allowing everyone to access the collection of public-domain books will help “level the playing field” in the AI industry.

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Harvard Is Releasing a Massive Free AI Training Dataset Funded by OpenAI and Microsoft

The dataset includes books that are in the public domain and no longer protected by copyright.

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Harvard Makes 1 Million Books Available to Train AI Models

Harvard University announced Thursday it’s releasing a high-quality dataset of nearly one million public-domain books that could be used by anyone to train large language models and other AI tools. The dataset was created by Harvard’s newly formed Institutional Data Initiative with funding from…

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Harvard University, in conjunction with Google, has released a dataset of a million public domain books to train the next generation of AI. The books span genres, languages, and authors such as Dickens, Dante, and Shakespeare which are no longer copyright protected because of their age. The new dataset initiative comes as AI training data is naturally pricey and best suited for tech firms with deep pockets. Harvard got financial backing from tec…

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CoinStats - Google and Harvard debut dataset with 1m publ...

Harvard University announced Thursday it's releasing a high-quality dataset of nearly one million public-domain books that could be used by anyone to train large language models and other AI tools. From a report: The dataset was created by Harvard's newly formed Institutional Data Initiative with fu...

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AI training data comes at a high price due to the enormous costs of data acquisition and copyright, making it a good fit for deep-pocketed tech companies. For this reason, Harvard University plans to release a database of about a million books in the public domain, spanning a variety of genres, languages, and authors, including classics by well-known authors that are no longer protected by copyright due to the many years that have passed since t…

נתוני אימון לבינה מלאכותית נושאים תג מחיר גבוה עקב העלויות האדירות של רכישת נתונים וזכויות יוצרים, כך שנוצר מצב שהדבר מתאים בעיקר לחברות טכנולוגיה בעלות כיס עמוק. מסיבה זו, אוניברסיטת הרווארד מתכננת לשחרר מאגר נתונים הכולל כמיליון ספרים מנחלת הכלל, המקיפים מגוון ז'אנרים, שפות וסופרים כולל ספרים קלאסים של סופרים ידועים, אשר אינם מוגנים עוד בזכויות יוצרים בשל השנים הרבות שעברו מאז חוברו הספרים.
המאגר החדש עדיין אינו זמין, ולא ברור מתי או כיצד הוא …

Harvard and Google to release 1 million public-domain books as AI training dataset

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