This tutorial details how to build an AI tool that generates meeting minutes from raw audio using open-source models. The process involves two main stages: speech transcription using OpenAI's Whisper and text summarization with Meta's Llama 3.2 3B model. The guide covers essential techniques like tokenization for language model input and 4-bit quantization to enable the models to run on a free Google Colab T4 GPU. AI
IMPACT Enables developers to build custom AI tools for audio processing and summarization on accessible hardware.
RANK_REASON The article describes building a specific application using existing AI models, rather than releasing a new model or research.
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