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LLaMA-Omni, an open-source AI model, is emerging as a strong competitor to established voice assistants like Siri and Alexa. Developed with a backbone of Llama 3.1 8B Instruct, it features a speech encoder using Whisper Large v3 and a speech decoder called HuBERT (UnitY). The model is designed for low-latency speech interaction, capable of generating both text and speech responses simultaneously with less than 250 ms latency. This Apache licensed innovation positions LLaMA-Omni as a significant player in the AI and voice assistant market.
LLaMA-Omni: The open-source #AI that’s giving #Siri and #Alexa a run for their money https://t.co/UQmavPaJqJ
Llama-Omni is a model architecture for low-latency speech interaction with LLMs. Apparently, this is the open-source answer to GPT-4o real-time speech interaction and it is based on Llama-3.1-8B-Instruct. Llama-Omni can simultaneously generate both text and speech responses… https://t.co/vnlm8zoQ6l
LLaMA-Omni: The open-source AI that’s giving Siri and Alexa a run for their money https://t.co/qm99Mm3CWa #ai #genai #LLaMAOmni #OpenSourceAI #ArtificialIntelligence #VoiceAssistant #AICommunity #SmartTech #FutureTech #TechTrends https://t.co/q1yf1LvsS9
