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Build AI Meeting Minutes Generator with Whisper and Llama 3.2

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.

Read on dev.to — LLM tag →

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  1. dev.to — LLM tag TIER_1 English(EN) · M TOQEER ZIA ·

    Build a Meeting Minutes AI From Raw Audio

    <blockquote> <p>A complete walkthrough of speech transcription, LLM inference, tokenization, and 4-bit quantization. Built with Whisper, Llama 3.2, and the HuggingFace ecosystem.</p> </blockquote> <p><strong>Skill level:</strong> Intermediate | <strong>Runtime:</strong> Google Co…