Google’s NotebookLM AI platform can be a fun tool to use in the office and can even transform plain pieces of text into a conversational podcast.<\/p>\n\n\n\n
Large language models like ChatGPT have completely revolutionised how people perform their digital tasks, especially in the office.<\/p>\n\n\n\n
From summarising long pieces of text to writing birthday messages for colleagues, there seems to be nothing artificial intelligence programs can’t do.<\/p>\n\n\n\n
As a result, most of the major tech companies have built their own LLMs. These include Microsoft’s Copilot, Meta’s Llama, and Google’s Gemini.<\/p>\n\n\n\n
However, Google’s experimental NotebookLM does things a little differently.<\/p>\n\n\n\n
Instead of the typical way a large language model works, where a user interacts by asking it a question, and it responds by summarising, translating, or predicting text in a human-like way, NotbookLM allows users to ground the model in their own sources.<\/p>\n\n\n\n
Google explains that NotebookLM allows users to let the model become well-versed in the information relevant to them. It means this literally.<\/p>\n\n\n\n
To use NotebookLM, users need to upload a source. This can be any piece of text, YouTube video (which must have a transcript), audio recording, or website.<\/p>\n\n\n\n
For instance, if someone is writing an essay about the pros and cons of LLMs, they can upload multiple sources to provide them with the most objective perspective possible.<\/p>\n\n\n\n
However, comparing these sources can take ages, and reading and listening to all of them can be tiresome.<\/p>\n\n\n\n
Instead, users can simply tell NotebookLM what information they need and present it from all the sources at once, providing references so the user can double-check it.<\/p>\n\n\n\n
Users can also ask the model to point out where sources contradict each other or points of disagreement.<\/p>\n\n\n\n
In essence, NotebookLM can provide users with insight into multiple sources simultaneously.<\/p>\n\n\n\n
One of the most notable features is the ability to create an AI-generated podcast directed by the user.<\/p>\n\n\n\n
For example, suppose a source argues that LLMs should undergo testing before they are released to the public, and another says this is unnecessary. In that case, NotebookLM can create a podcast with arguments from both sides.<\/p>\n\n\n\n
While these features may seem like the next best thing, it is essential to note that the program is still in beta mode and undergoing testing.<\/p>\n\n\n\n
When using it, users should always double-check what the LLM has produced.<\/p>\n","protected":false},"excerpt":{"rendered":"
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