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BLOOM (language model) BigScience Large Open-science Open-access Multilingual Language Model ( BLOOM) [1] [2] is a 176-billion-parameter transformer -based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3] BLOOM was trained on approximately 366 ...
Measuring Massive Multitask Language Understanding ( MMLU) is a benchmark for evaluating the capabilities of language models. It consists of about 16,000 multiple-choice questions spanning 57 academic subjects including mathematics, philosophy, law, and medicine. It is one of the most commonly used benchmarks for comparing the capabilities of ...
The largest and most capable LLMs, as of June 2024, are built with a decoder-only transformer-based architecture, which enables efficient processing and generation of large-scale text data. Historically, up to 2020, fine-tuning was the primary method used to adapt a model for specific tasks.
On July 18, 2023, in partnership with Microsoft, Meta announced Llama 2, the next generation of Llama. Meta trained and released Llama 2 in three model sizes: 7, 13, and 70 billion parameters. [9] The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. [23]
Vicuna LLM is an omnibus Large Language Model used in AI research. [1] Its methodology is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science) and to vote on their output; a question-and-answer chat format is used. At the beginning of each round two LLM chatbots from a diverse ...
Mistral AI is a French company specializing in artificial intelligence (AI) products. Founded in April 2023 by former employees of Meta Platforms and Google DeepMind, [1] the company has quickly risen to prominence in the AI sector. The company focuses on producing open source large language models, [2] emphasizing the foundational importance ...
Low-rank adaptation (LoRA) is an adapter-based technique for efficiently fine-tuning models. The basic idea is to design a low- rank matrix that is then added to the original matrix. [ 13 ] An adapter, in this context, is a collection of low-rank matrices which, when added to a base model, produces a fine-tuned model.
The cloud computing arm of Alphabet Inc said on Thursday it had formed a partnership with startup Hugging Face to ease artificial intelligence (AI) software development in the company's Google Cloud.