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The Library of Congress, with its vast collection of 180 million works, is becoming a hotspot for AI companies seeking to train their language models. This digital archive, containing 185 petabytes of data, offers a wealth of public domain content that is free from copyright restrictions. AI developers are particularly drawn to this resource as they look for legal and diverse data to enhance their models.
Access to the Library's data is facilitated through an API, which has seen significant traffic growth since its launch in September 2022. Major companies like OpenAI, Amazon, and Microsoft are exploring ways to utilize this data for AI applications, such as improving library services and historical document analysis. However, challenges remain, including the need for historical accuracy and the risk of AI-generated inaccuracies.
• Library of Congress data is increasingly sought after by AI startups.
• AI companies face challenges in historical accuracy when using contemporary models.
These models are being trained using diverse datasets from the Library of Congress.
The Library's API allows users to access its vast data resources in a structured manner.
The Library of Congress's collections are appealing to AI developers because they consist largely of public domain materials.
OpenAI is interested in utilizing the Library's data to enhance its language models.
Amazon is exploring the Library of Congress as a resource for improving its AI capabilities.
Microsoft is also looking to leverage the Library's data for AI applications.
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