Anuncio
relacionado con: bigscience bloomDon't swipe away. Massive discounts on our products here - up to 90% off! Come and check Bigscience Bloom at a surprisingly low price, you'd never want to miss it.
Resultado de búsqueda
Model Details. BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans.
Today, we release BLOOM, the first multilingual LLM trained in complete transparency, to change this status quo — the result of the largest collaboration of AI researchers ever involved in a single research project. With its 176 billion parameters, BLOOM is able to generate text in 46 natural languages and 13 programming languages.
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.
12 de jul. de 2022 · BLOOM was created over the last year by over 1,000 volunteer researchers in a project called BigScience, which was coordinated by AI startup Hugging Face using funding from the French...
BigScience is an open and collaborative workshop around the study and creation of very large language models gathering more than 1000 researchers around the worlds. You can find more information on the main website at https://bigscience.huggingface.co.
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences.
BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning.
