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Retrieval Augmented Generation on audio data with LangChain

AssemblyAI

Setting up the virtual environment In a terminal, create a directory for this project and navigate into it: mkdir ragaudio && cd ragaudio Now, enter the following command to create a virtual environment called venv python -m venv venv Next, activate the environment. from the project directory with your virtual environment activated.

LLM 246
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How to Create VTT Files for Videos in Python

AssemblyAI

VTT files make it possible to add subtitles to video content after it is produced. Then, navigate to your project directory in your terminal and create a new virtual environment: # Mac/Linux: python3 -m venv venv. Navigate to the project directory in a terminal and run the `main.py` file with the following command: python main.py

Python 147
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How to Create SRT Files for Videos in Python

AssemblyAI

SRT files make it possible to add subtitles to video content after it is produced. Then, navigate to your project directory in your terminal and create a new virtual environment: # Mac/Linux: python3 -m venv venv. Navigate to the project directory in a terminal and run the main.py Entries are separated by a blank line.

Python 147
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Extract phone call insights with LLMs in Python

AssemblyAI

Setting Up Your Environment First, create a directory for the project and navigate into it. Just a few of them are: lead intelligence conversational data analysis sales coaching To learn more about potential use cases for extracting call insights, you can check out this blog.

Python 279
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Automatically determine video sections with AI using Python

AssemblyAI

Getting started First, create a project directory and navigate into it. Mac/Linux: export ASSEMBLYAI_API_KEY=<YOUR_KEY> # Windows: set ASSEMBLYAI_API_KEY=<YOUR_KEY> Transcribing the meeting In your project directory, create a file called main.py. You can find all of the code for this tutorial in this repository.

Python 261
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Python Speech-to-Text with Punctuation, Casing, and Formatting

AssemblyAI

or greater An AssemblyAI API key , which can be copied from the AssemblyAI dashboard All code in this blog post is available open source under the MIT license on GitHub under the transcribe-english-punctuation directory of the assemblyai-examples Git repository. Navigate to the project directory in a terminal and run the transcribe.py

Python 130
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AI Decoded: Demystifying Large Language Models, the Brains Behind Chatbots

NVIDIA

They’re made possible thanks to large language models , deep learning algorithms pretrained on massive datasets — as expansive as the internet itself — that can recognize, summarize, translate, predict and generate text and other forms of content. These multimodal LLMs can recognize and generate images, audio, videos and other content forms.