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4,954 views • Mar 28, 2024 • #DeepLearning #MachineLearning
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Get AssemblyAI API key for this tutorial: https://www.assemblyai.com/?utm_sourc...
LLMs work wonders on text data but if you want to use audio or video files instead of text, things get a bit trickier. An easy solution is to transcribe the audio or video files. This would work but you will lose valuable information, especially in multi-speaker situations, like how many people were speaking and who said what.
In this video, we’ll learn how to build a RAG application in 10 minutes that can take multiple speakers into account when answering a question.
Colab notebook: https://github.com/deepset-ai/haystac...
AssemblyAI-Haystack Integration docs: https://www.assemblyai.com/docs/integ...
Blog post of this video: https://haystack.deepset.ai/blog/leve...00:00 Introduction
00:32 Effect of Speaker Labels
01:49 Libraries and example files
04:43 Transcription Pipeline
07:52 RAG Application
10:34 Results
11:52 Try it out yourself!
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