Called NotebookLlama, the project uses Meta’s own Llama models for much of the processing, unsurprisingly. Like NotebookLM, it can generate back-and-forth, podcast-style digests of text files uploaded to it.

NotebookLlama first creates a transcript from a file — e.g. a PDF of a news article or blog post. Then, it adds “more dramatization” and interruptions before feeding the transcript to open text-to-speech models.