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Meta released a new open-source model, Massively Multilingual Speech (MMS) that can do both speech-to-text and text-to-speech in 1,107 languages and can also recognize 4,000+ spoken languages. Existing speech recognition models only cover approximately 100 languages out of the 7,000+ known spoken languages. [Details | Research Paper | GitHub].
New research presented in the paper ‘QLORA: Efficient Finetuning of Quantized LLMs’ makes it possible to train and fine-tune LLMs on consumers' GPUs. Their new open-source model Guanaco, outperforms all previous openly released models on the Vicuna benchmark, reaching 99.3% of the performance level of ChatGPT while only requiring 24 hours of finetuning on a single GPU [Paper | GitHub | Huggingface].
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