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A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.
Stanford's Institute for Human-Centered AI released its "Foundation Model Transparency Index," which looked at models including OpenAI, Anthropic, Meta, and Google. The results were not good.
Stanford University researchers issued a report on Wednesday measuring the transparency of artificial intelligence foundation models from companies like OpenAI and Google, and the authors urged ...
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [4] [5] and an initial paper was published 4 days later. [6] Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, [7] IBM opened the source code of some code models.
The drafting of the order was motivated by the rapid pace of development in generative AI models in the 2020s, including the release of large language model ChatGPT. [8] Executive Order 14110 is the third executive order dealing explicitly with AI, with two AI-related executive orders being signed by then-President Donald Trump .
The UK’s competition watchdog has warned of its growing concern about the state of the market for artificial intelligence foundation models, in particular the power a handful of large companies ...
AI regulation is also sometimes advocated for in order to prevent bias and privacy violations. [6] However, it has been criticized as possibly leading to regulatory capture by large AI companies like OpenAI, in which regulation advances the interest of larger companies at the expense of smaller competition and the public in general. [6]
Supporters said it would set some of the first much-needed safety ground rules for large-scale AI models in the United States. The bill targets systems that require more than $100 million in data ...