Multi-modal large language models have garnered significant interest
recently. Though, most of the works focus on vision-language multi-modal models
providing strong capabilities in following vision-and-language instructions.
However, we claim that speech is also an important modality through which
humans interact with the world. Hence, it is crucial for a general-purpose
assistant to be able to follow multi-modal speech-and-language instructions. In
this work, we propose Large Language and Speech Model (LLaSM). LLaSM is an
end-to-end trained large multi-modal speech-language model with cross-modal
conversational abilities, capable of following speech-and-language
instructions. Our early experiments show that LLaSM demonstrates a more
convenient and natural way for humans to interact with artificial intelligence.
Specifically, we also release a large Speech Instruction Following dataset
LLaSM-Audio-Instructions. Code and demo are available at
this https URL and
this https URL The LLaSM-Audio-Instructions
dataset is available at
this https URL

大型语言和语音模型 (LLaSM) 是一个经过端到端训练的大规模多模态语音语言模型，具备跨模态对话能力，能够遵循语音和语言指令。LLaSM 通过提供更便捷和自然的方式，展示了人类与人工智能进行互动的方式。