Paragraph (minor corrections):
"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. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks."

Paragraph (recommended style):
"BLOOM is an open source autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. It is one of many such LLMs in recent years. As such, it is able to output coherent text that is hardly distinguishable from text written by humans in 46 natural languages, 13 programming languages, and can be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks."

Paragraph (slightly more instructive):
"BLOOM is an open source autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. Once trained, use of the LLM is an iterative process of predicting the next word or sub-word in a prompt, which is what makes it autoregressive. It was created through a collaborative effort between over 1,000 AI researchers and is publicly available for all to try. 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. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks. This process is often referred to as prompt engineering, which is the study of finding the optimal prompt to give to the LLM such that it will be aligned to accomplish the task you are looking to achieve."

Paragraph (slightly more eloquent/inspiring):
"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. Being open source, the general public has access to the usages of LLMs which has been argued by AI researchers to be vastly important to mitigating gaps of inequality that may come from the rise of large AI models. It is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans, a skill that hold many promising potentials. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks."

Paragraph (slightly more confident):
"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 and performs well against all current benchmarks. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for and accomplish them successfully by casting them as text generation tasks in zero-shot, one-shot, and two-shot generation with increasing success rates."
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