๐ŸŽค Create custom voice agents in under 10 minutes using #Python with STT, LLM and TTS pipelines like #Deepgram, #OpenAI GPT-4o and #Cartesia Sonic. Supports realtime speech-to-speech with models like OpenAI Realtime API for lifelike conversations. Multilingual semantic turn detection in 13 languages including English, German and Spanish with <25ms latency on CPU. Automatic interruption handling and VAD for natural turn-taking outperforms platforms like #Vapi. ๐Ÿ“š https://docs.livekit.io
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LiveKit Documentation | The platform for voice, video, and physical AI
Hierarchical modeling - Cartesia

Generate seamless speech, power voice applications, and fine-tune your own voice models on the fastest real-time AI platform.

๐Ÿ“Š Build #AI #avatar for training/coaching using #LLMs, #video & speech models

Orchestrate components with #Cerebrium #serverless platform
Use #Mistral #LLM for function calling capabilities
Implement #Cartesia for voice control with emotional settings
Integrate #Tavus for AI-generated video experiences

๐Ÿ› ๏ธ Key components:

#Cerebrium for deployment and environment setup
#Mistral API for #NLP and conversation flow
#Cartesia for realistic voice generation
#Tavus for creating AI avatars and video scenarios

๐Ÿ’ผ Use cases:

#Sales training with simulated customer interactions
#Interview practice with AI-powered recruiters
Customizable scenarios for various business needs

๐Ÿ”ง Technical highlights:

Function calling to guide conversation flow
Integration of multiple #AI services (LLM, TTS, video)
#OpenAI compatible endpoints for flexibility

๐Ÿ‘จโ€๐Ÿ’ป Tutorial covers step-by-step implementation, from backend setup to frontend integration, enabling creation of interactive #AI training experiences.

https://www.cerebrium.ai/blog/how-to-build-a-real-time-ai-avatar-for-training-and-coaching

Cerebrum blog | How to Build a Real-Time AI Avatar for Training and Coaching

How to Build a Real-Time AI Avatar for Training and Coaching