Google NotebookLM lets you load up to 50 sources and 25 million words, then answers with citations so you can study faster.
By the time I find a pen, I already have this app opened and ready to go ...
Option 2: Metadata cell in notebook With this option, the metadata is extracted from the first cell of the notebook (which should be a Markdown cell), this cell is then ignored on the rendering of the ...
Option 2: Metadata cell in notebook With this option, the metadata is extracted from the first cell of the notebook (which should be a Markdown cell), this cell is then ignored on the rendering of the ...
In this tutorial, we demonstrate how to federate fine-tuning of a large language model using LoRA without ever centralizing private text data. We simulate multiple organizations as virtual clients and ...