Discover the number of parameters in the powerful BLOOM language model. An Infosys Certified Applied Generative AI Professional provides a detailed answer.
Table of Contents
Question
How many parameters does BLOOM have?
A. 64 billion parameters
B. 128 billion parameters
C. 176 billion parameters
D. 256 billion parameters
Answer
C. 176 billion parameters
The correct answer is C. BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) is a large language model developed by BigScience, a collaborative research workshop involving over 1,000 researchers. BLOOM contains 176 billion parameters.
Explanation
Having 176 billion parameters makes BLOOM one of the largest publicly available language models as of 2023. For comparison, GPT-3, another well-known large language model, has 175 billion parameters. More parameters generally allow a model to learn more information and nuances during training, resulting in better performance on downstream language tasks.
However, more parameters also require more computational resources to train and run the model. BLOOM’s developers used powerful supercomputers to train the model on a huge corpus of text data. The resulting 176B parameter model is capable of strong performance on a wide variety of natural language tasks.
In summary, BLOOM is an impressively large open-source language model with 176 billion learnable parameters, putting it on par with some of the most capable AI language models that exist today. The correct answer to the question “How many parameters does BLOOM have?” is C. 176 billion parameters.
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