BART (language model)
BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
Explore Meta AI through related topics and the articles other pages reference most.
Articles that also belong to these categories. Counts cover all of Meta AI.
Showing 1-8 of 8 articles
BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
LLaMA is the original name of a family of large language models developed by Meta AI.
A Large Concept Model (LCM) is a research approach to language modeling, introduced by Meta AI's Fundamental AI Research (FAIR) group in December 2024
Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
Mike Lewis is a British natural language processing researcher based in Seattle who serves as a research scientist at Meta AI (Facebook AI Research, FAIR) and as the pre-training research lead on the Llama…
No Language Left Behind (NLLB) is a machine translation research project and model family from Meta AI, announced in July 2022.
SeamlessM4T (short for Massively Multilingual and Multimodal Machine Translation) is a machine translation model released by Meta AI on August 22, 2023.
Wav2Vec is a family of self-supervised learning models from Meta AI (formerly Facebook AI Research) that learn speech representations directly from raw audio waveforms