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BLOOM is a text generation model that can output coherent text in 46 languages and 13 programming languages. It is trained on vast amounts of text data using industrial-scale computational resources and can perform text tasks not explicitly trained for.
BLOOM is a 176 billion parameter LLM that can generate text in 46 natural and 13 programming languages. It is the result of a year-long collaboration of over 1000 researchers from 70+ countries and 250+ institutions, and it is available for download, study and use under a Responsible AI License.
Jul 12, 2022 · BLOOM is a 176 billion parameter LLM that can generate text in 46 natural and 13 programming languages. It is the result of a year-long collaboration of over 1000 researchers from 70+ countries and 250+ institutions, and is released under a Responsible AI License.
BLOOM is a 176-billion-parameter transformer-based LLM trained on 366 billion tokens from 46 natural and 13 programming languages. It is the outcome of the BigScience initiative, a collaborative research project supported by a public supercomputer grant.
Nov 9, 2022 · BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 59 languages. It is a collaborative project of hundreds of researchers and is released under the Responsible AI License.
BLOOM Overview. The BLOOM model has been proposed with its various versions through the BigScience Workshop. BigScience is inspired by other open science initiatives where researchers have pooled their time and resources to collectively achieve a higher impact.
Jul 27, 2022 · Bloom is a new 176B parameter multi-lingual LLM (Large Language Model) from BigScience, a Huggingface -hosted open collaboration with hundreds of researchers and institutions around the world.
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