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Creation Pipeline of the ROOTS Corpus. The purple-colored sourcing stage of the pipeline and the yellow-colored processing stage are described respectively in Section 3.1.2 and Section 3.1.3.

Creation Pipeline of the ROOTS Corpus. The purple-colored sourcing stage of the pipeline and the yellow-colored processing stage are described respectively in Section 3.1.2 and Section 3.1.3.

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Figure 1: Organization of BigScience working groups.
Figure 2: Creation Pipeline of the ROOTS Corpus. The purple-colored...
Figure 5: The BLOOM architecture. The k head slope parameters for ALIBI...
Figure 6: DP+PP+TP combination leads to 3D parallelism.
Figure 7: Performance of various LLMs on subset of tasks from SuperGLUE...
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Major Contributors Prompt Engineering BigScience Workshop Architecture and Objective Engineering Evaluation and Interpretability Broader Impacts
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  • Mar 2023
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technolog...
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Context 1
... high-level overview of this dataset can be seen in Figure 3, while a detailed itemized list of every language along with its linguistic genus, family and macroarea is presented in Table 1. Beyond the corpus itself, the process resulted in the development and release of a number of organizational and technical tools, including those illustrated in Figure 2. The rest of this section will contextualize these efforts by providing a brief summary of the steps taken to compile the corpus. ...
Context 2
... the sources had been identified, data processing involved several steps to handle multiple aspects of data curation. An overarching view of and processing pipeline to build ROOTS can be seen in Figure 2. All tools developed in the process are available on GitHub. ...

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