This unlikely Google-Microsoft duo works higher than it ought to


I am continuously looking for methods to do issues extra effectively, particularly in the case of analysis. I haven’t got a ton of time within the day for private agendas and need I had extra time to learn — I used to examine a e-book a month. These days, I can barely discover time to learn two books a 12 months. Discovering methods to streamline my studying has been a wrestle, however that is what led me to make use of NotebookLM within the first place.

NotebookLM is a terrific instrument for studying extra about subjects. You’ll be able to create your individual database to tug data from. Not solely are you able to higher funnel the sources that the AI assistant gathers information and information from, however it’s also possible to add your individual data and have it do a lot of completely different duties for you. Need to study extra a few lengthy PDF that you simply’re required to learn? Add it to NotebookLM and have it write up flash playing cards to review. Have to study quite a bit a few subject in a short while? Construct a Pocket book and create an Audio Overview to take an academic AI podcast on the go.

When you can ask Google to find sources for you, relatively than giving NotebookLM the sources you wish to use, you could not need a few of what it finds. It’s going to often provide you with 10 sources and a few of them will not be respected. So why not use AI in different methods to get extra data to feed in. That is why I’ve built-in Microsoft Copilot responses into NotebookLM.

Find out about a brand new subject from a Copilot immediate

Why not have Microsoft do the heavy lifting?

Copilot responses for cryptocurrency.

NotebookLM is nice as a result of it may well use what you are giving it and create an all-encompassing database from which to reply to questions. However what if you do not know something a few subject, and also you wish to study it earlier than gaining data from NotebookLM? You should use the Uncover sources possibility on the platform. However it’s also possible to ask Copilot to inform you about it. I’ve discovered that asking Copilot or one other LLM to assist me with studying about one thing generally is a fast strategy to get the solutions I am in search of.

I lately requested it to show me about cryptocurrency. Whereas I usually perceive the idea, I haven’t got a full grasp on the subject by any means. I am not an investor (no less than not but). So why not have Microsoft Copilot inform me some extra about it? I requested it to assist me perceive the fundamentals, and it gave me an excellent rundown of the subject in broad phrases.

It even gave me professionals and cons to investing in crypto, which was very useful by way of higher understanding how I would wish to do it sooner or later.

Combine Copilot with NotebookLM for a database of my very own

This Pocket book was put collectively with out a lot effort from me

Copilot and Notebooklm side by side.

I requested Copilot to “write an in depth evaluation of how somebody ought to get began in investing in cryptocurrency.” It gave me much more data. However relatively than learn its total write-up, I merely copied the responses that it gave me to my two prompts and pasted them into NotebookLM. If you open up a brand new Pocket book, you’ll be able to select Paste textual content within the Add sources portion. As soon as I added that in, NotebookLM created the Pocket book “Cryptocurrency Fundamentals and Funding Information.”

From there, I added some extra sources from Google to flesh out the knowledge to present it much less of a newbie’s feeling. I now had a database the place I might ask questions — particularly if I ought to spend money on a sure sort of cryptocurrency. Candidly, Google made it clear that it might provide personalised monetary recommendation, and, actually, that is one thing that I appreciated. There might be dire ramifications if AI was offering monetary recommendation to people. However it additionally started offering me with a extra in-depth rationalization of the various kinds of cryptocurrency to assist me higher perceive my choices.

Use what Copilot has taught NotebookLM to my benefit

Take NotebookLM’s function for a spin

A Mind Map from Notebooklm's responses to Copilot.

Any of NotebookLM’s options can work effectively as soon as you have built-in prompts from Copilot.

Now that I’ve fed the Copilot responses into NotebookLM and created a Pocket book I can ask questions in, I wish to truly perceive every thing Copilot and NotebookLM have compiled. I first began out with a Thoughts Map about cryptocurrency, which broke the subject into extra digestible choices. I went from the broad subject to studying extra concerning the tax break implications as written by the IRS tips in regard to crypto in only a few clicks.

I then created a Visible Overview that summarized all of the sources and their data. This video gave a visible illustration of all the knowledge that I might sit, watch, and study in a 10-minute span. After that, I exploit the quiz perform to check myself to see how a lot I truly perceive. With a subject like crypto, I used to be by no means going to fully perceive it straight away, particularly since I am counting on about 10 sources. However it gave me a greater understanding than I might beforehand had.

For extra enjoyable, I took a part of the response from NotebookLM relating to capital positive aspects tax calculations and fed it again into Copilot and requested it to succinctly summarize what it meant. Somewhat than wading by means of lengthy solutions from NotebookLM, I received a brief and candy reply from Copilot. Simply to fiddle, I requested NotebookLM to make an Audio Overview targeted solely on capital positive aspects tax calculations, so I used to be capable of hear about it from that supply too.

There’s a lot that you are able to do with each of those and, once they work collectively, it may well energy your finding out ahead.

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