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

I am continuously looking for methods to do issues extra effectively, particularly in terms 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 read about a 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 battle, however that is what led me to make use of NotebookLM within the first place.

NotebookLM is a terrific tool for studying extra about matters. You may create your personal database to tug info from. Not solely are you able to higher funnel the sources that the AI assistant gathers knowledge and details from, however you can too add your personal info and have it do quite a lot of totally different duties for you. Wish to study extra a couple of lengthy PDF that you simply’re required to learn? Add it to NotebookLM and have it write up flash cards to review. Have to study rather a lot a couple of matter 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, somewhat than giving NotebookLM the sources you need to use, you might not need a few of what it finds. It should often offer you 10 sources and a few of them is probably not respected. So why not use AI in different methods to get extra info to feed in. That is why I’ve built-in Microsoft Copilot responses into NotebookLM.

Study a brand new matter from a Copilot immediate

Why not have Microsoft do the heavy lifting?

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 answer questions. However what if you do not know something a couple of matter, and also you need to find out about it earlier than gaining data from NotebookLM? You should utilize the Uncover sources choice on the platform. However you can too ask Copilot to let you know about it. I’ve found that asking Copilot or one other LLM to assist me with studying about one thing generally is a fast technique to get the solutions I am searching for.

I just lately requested it to show me about cryptocurrency. Whereas I typically perceive the idea, I haven’t got a full grasp on the subject by any means. I am not an investor (not 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 a superb rundown of the subject in broad phrases.

Combine Copilot with NotebookLM for a database of my very own

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

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 info. However somewhat than learn its whole write-up, I merely copied the responses that it gave me to my two prompts and pasted them into NotebookLM. Once you open up a brand new Pocket book, you may 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 data 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 put money into a sure sort of cryptocurrency. Candidly, Google made it clear that it might provide customized monetary recommendation, and, actually, that is one thing that I appreciated. There may very well 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 several types 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

Now that I’ve fed the Copilot responses into NotebookLM and created a Pocket book I can ask questions in, I need to really 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 matter to studying extra concerning the tax break implications as written by the IRS tips in regard to crypto in just some 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 data that I might sit, watch, and study in a 10-minute span. After that, I take advantage of the quiz perform to check myself to see how a lot I really perceive. With a subject like crypto, I used to be by no means going to fully perceive it immediately, 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 concerning capital positive aspects tax calculations and fed it again into Copilot and requested it to succinctly summarize what it meant. Relatively than wading by way of lengthy solutions from NotebookLM, I acquired a brief and candy reply from Copilot. Simply to fiddle, I requested NotebookLM to make an Audio Overview centered solely on capital positive aspects tax calculations, so I used to be in a position to pay attention 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 learning ahead.