Hi Everyone! Today we will compare between 3 very small AI models, and we will put them to the test! We will run a real-time voice chat console application featuring: Microsoft Phi-2, TinyLlama, and Qwen2-1.5B. So come join me, and watch as these super lightweight AIs attempt to keep up with speech recognition, text generation, and text-to-speech—all while showcasing their quirky, low-performance charm! 🙂
And we will of course go over the Python code, explore how it works, and I'll even show you how to customize it on your end.
This stream is perfect for AI enthusiasts, developers, or anyone curious about the limits of compact LLMs! Expect some fun fails, silly replies, and a live demo you won’t forget! 😉
🔊 What’s Happening:
- Speech input via microphone (using speech_recognition)
- Text generation with tiny AI models (via transformers)
- Audio responses powered by gTTS and pygame
- Hopefully no debugging... 😅
💻 Code: Check the pinned comment for the full script!
📅 Date: Live on [March 07, 2025]
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#ai #MachineLearning #VoiceChat #SmallAI #LiveDemo #Python #TechFun #llm #artificialintelligence #transformers