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Information about this dataset's format is available in the HuggingFace dataset card and the project's website. The dataset can be downloaded here, and the rejected data here. 2016 [343] Paperno et al. FLAN A re-preprocessed version of the FLAN dataset with updates since the original FLAN dataset was released is available in Hugging Face: test data
BigScience was led by HuggingFace and involved several hundreds of researchers and engineers from France and abroad representing both the academia and the private sector. BigScience was supported by a large-scale public compute grant on the French public supercomputer Jean Zay, managed by GENCI and IDRIS ( CNRS ), on which it was trained.
huggingface.co Hugging Face, Inc. is an American company that develops computation tools for building applications using machine learning . It is known for its transformers library built for natural language processing applications.
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
The Eagles planted a flag, or rather flew one outside the cockpit window as they left Philadelphia and arrived in New Orleans for Super Bowl 2025.
A study shows that vegans are at greater risk of being depressed because of milk alternatives they choose. But a Washington, D.C., doctor has some concerns about the new findings.
James hailed the decision in a post on X Saturday: "This morning, we won a court order blocking Elon Musk, the world’s richest man, from accessing Americans’ private data.
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.