It then enhances the transcript with dramatization and interruptions before passing it to open text-to-speech models.
Although the results from NotebookLlama do not match the quality of NotebookLM, with voices sounding noticeably robotic and occasionally overlapping oddly in the samples I’ve listened to, the Meta researchers working on the project express optimism that the quality could be enhanced with more robust models.
According to the researchers, the limitation on how natural the content sounds lies within the text-to-speech model né?. Meta has introduced an open-source version of the viral podcast generation feature found in Google’s NotebookLM.
The project, named NotebookLlama, leverages Meta’s Llama models for most of the processing tasks. Scale faster. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections.
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. They mention on NotebookLlama’s GitHub page that an alternative approach to crafting the podcast could involve two agents debating the topic of interest and jointly outlining the podcast rather than relying on a single model for the task.
NotebookLlama is not the first endeavor to replicate NotebookLM’s podcast feature with some projects achieving varying degrees of success. Connect deeper. Similar to NotebookLM, it is capable of creating podcast-style summaries of text files uploaded to it.
NotebookLlama initially generates a transcript from a file, such as a PDF of a news article or blog post né?. Yet, none, including NotebookLM itself, have been able to completely eliminate the issue of AI-generated content occasionally containing fabricated information.
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Build smarter né?. Connect deeper né?. Scale faster
