The Ultimate Meeting Summarizer: AI-Powered Transcription and Summarization | LLM Project | Python

Transform Your Long Meeting Recordings into Concise Summaries with AI

Are you tired of spending hours transcribing and summarizing long meeting recordings? In this video, we'll show you how to automatically generate summaries using AI-powered tools. We'll be using two powerful models: Whisper and Meta's Lama, which can transcribe and summarize meetings in any language.

Learn how to:

Install necessary packages and set up your environment
Use the Whisper model to transcribe audio files
Divide large audio files into 30-second chunks for efficient processing
Choose the language of the audio file and translate it to English if necessary
Use the Lama model to summarize the transcription into clear and actionable minutes

Follow along with our step-by-step guide and learn how to create a summary in just a few clicks. Whether you're a busy professional or a student, this technique can save you time and effort.


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LLM videos:
part 1:    • Simple Guide to Training Small LLMs | Part 1  
part 2:    • How AI Models Learn to Follow Prompts | Pa...  
part 3:    • How to Use Meta’s LLaMA Model – Step-by-St...  


Whisper videos:
part 1:    • Master Fine-Tuning OpenAI Whisper with PyT...  
part 2:    • Word Error Rate in Atomatic Speech Recogni...  
part 3:    • Fine tuning  Whisper with Pytorch (Simples...  

TIMESTAMPS 00:00 - Introduction to the Video
00:05 - Introduction to the Video (continued)
01:12 - Meeting Summarizer using Whisper Model
04:30 - Meeting Summarizer using Lama Model
05:42 - Summarization of Meeting using Large Language Model
06:07 - Final Output of Summarization