Google’s NotebookLM service has gained popularity recently for its ability to summarize entire documents into podcasts. Meta has recently showcased the NotebookLlama project, a Python Notebook suite that also converts documents into podcasts.
This project utilizes three layers of LLM. The first layer uses the small Llama 3.28B to convert PDFs into easily readable documents. It then utilizes Llama 3.170B to write podcast scripts, followed by Llama 3.18B to make the scripts more understandable before finally converting the text into audio.
While theoretically, these models can run within organizations, Llama 3.170B requires a significantly large graphics memory unit of over 140GB. Therefore, it is commonly used through cloud services.
Source: Meta-Llama
TLDR: Google’s NotebookLM service and Meta’s NotebookLlama project utilize LLM to convert documents into podcasts, with the latter requiring substantial graphics memory.
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