# BLOOM (Big Language Model Open for Open Research) BLOOM stands for **Big Language Model Open for Open Research**, and it is an open-source multi-lingual language model (LLM) developed by BigScience, an AI research effort led by Google AI and several other academic institutions. BLOOM has 176 billion parameters, making it one of the largest LLMs ever created. It is available for free to any individual or institution who agrees to the system's Responsible AI License. BLOOM is trained on a massive dataset of text and code, and can perform a variety of tasks, including: * Translation between languages * Summarizing text * Writing different kinds of creative content, such as poems, code, scripts, musical pieces, email, and letters * Answering your questions in an informative way, even if they are open ended, challenging, or strange BLOOM is still under development, but it has the potential to be a powerful tool for a variety of applications, such as: * Education: BLOOM can be used to create personalized learning experiences for students * Customer service: BLOOM can be used to answer customer questions and resolve issues * Research: BLOOM can be used to explore new ideas and generate hypotheses * Creative writing: BLOOM can be used to help writers generate ideas and improve their writing skills BLOOM is a significant step forward in the development of LLMs, and it is likely to have a major impact on the field of AI in the years to come. Here are some links to learn more about BLOOM: * BigScience: BLOOM: * Thenextweb: Bloom, new open-source AI model bigger than GPT-3, large language model (LLM): * Bloom AI: --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-technology/generative-ai-architectures-and-models/generative-ai-and-llms-for-text/bloom-big-language-model-open-for-open-research.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.