Picovoice’s Post

15,000 followers! 🌟🌟🌟 When we started this journey, we knew our mission was ambitious. Thank you for being a vital part of our journey. We’re thrilled to continue growing and innovating with you!

The GPT-4o audio demo proved that an LLM-powered voice assistant done correctly can create awe-inspiring interactive experiences. You don't have to wait for OpenAI to create similar ones. Check out pico-cookbook! #VoiceAI #LLMs #LargeLanguageModels #AIAgents

Real-time Speaker Recognition & Identification in 2 minutes! Does it sound too good to be true? Try Eagle Speaker Recognition. 🦅 Eagle is the only ready-to-use production-grade engine with everything a developer may need. It's 💾 compact and computationally efficient, 🤸 cross-platform, 👂 private and reliable, 🌎 language-agnostic and text-independent, 🤗 easy to use with a simple enrollment process. https://lnkd.in/g8xgH3ai

Voice Activity Detection is one of the technologies that is generally overlooked - It just scans audio streams and detects the presence of human speech. In the age of LLMs, all VADs should be good, right? Spare 90 seconds to test out Cobra Voice Activity Detection to see the difference: https://lnkd.in/du7jJKiP Production-ready Cobra Voice Activity Detection offers what developers need: Twice the webRTC VAD accuracy, ease of use, cross-platform SDKs, and enterprise support. #VoiceActivityDetection #VoiceAI #Python #PythonTutorial

Eliminate latency and have control over your data while building LLM-powered applications! Learn how to run LLMs on CPU and GPU across Linux, macOS, Windows, Android, iOS, Chrome, Safari, Edge, Firefox, and Raspberry Pi using the most popular open-weight model: Llama!

Apple iPhone users do not need to share their data with OpenAI or other vendors to leverage LLM intelligence. All you need is 2 minutes to start running LLMs locally on iOS: https://lnkd.in/g839WHgH #localLLM #chatbot #LargeLanguageModels #ondeviceAI

Looking for a weekend project? Try picoLLM Inference on Android! 👀 📱 Running local LLMs on mobile 𝗶̶𝘀̶ was challenging when you consider battery life, compute and memory requirements. Now, efficient LLM Inference on Android is just a few lines of code away: https://lnkd.in/gN6uKTpk #LLMs #LargeLanguageModels #LocalLLMs #Android

Local LLM Inference across 𝗖𝗵𝗿𝗼𝗺𝗲, 𝗦𝗮𝗳𝗮𝗿𝗶, 𝗙𝗶𝗿𝗲𝗳𝗼𝘅, 𝗘𝗱𝗴𝗲, 𝗮𝗻𝗱 𝗢𝗽𝗲𝗿𝗮 is now possible with picoLLM! Don't just take our word for it, see for yourself! https://lnkd.in/g35huVev #LLMs #LargeLanguageModels #SmallLanguageModels #AIAgents

picoLLM Inference runs any LLM in the cloud, on-prem, and on-device, including a Raspberry Pi! Shrinking language models without sacrificing accuracy: 📊 reduces memory usage,  ⚡speeds up inference, 🎯 makes LLM intelligence available for all! Check the video description to start building: https://lnkd.in/g_VnPCVd #RaspberryPi #VoiceAssistant #LLMs #LargeLanguageModels #LocalLLM #VoiceAI