Aerospace Electronic and Defense Systems: Mastering Research with ChatGPT 4o: Techniques You Need to Know

Mastering Research with ChatGPT 4o: Techniques You Need to Know - YouTube

In this video, I dive into the fascinating world of how to use ChatGPT 4o, an advanced artificial intelligence tool developed by OpenAI. As we explore the capabilities of GPT4o, you'll see a comprehensive ChatGPT 4o demo that highlights its potential in research and everyday tasks. This new ChatGPT model is a game-changer, offering enhanced features that make it easier than ever to analyze and interpret complex data.

OpenAI ChatGPT 4o, or simply GPT 40, is not just another AI tool; it's a step forward in the field of artificial intelligence for researchers. Throughout the video, I demonstrate how ChatGPT 4o can assist in various research activities, from summarizing academic papers to generating insightful analyses. This chatgpt tutorial is designed to help you understand the practical applications of this new model, making it an essential resource for both beginners and experienced users.

One of the highlights of the video is the in-depth chatgpt 4o demo, where I show you step-by-step how to utilize its features effectively. Whether you're new to this technology or looking to refine your skills, this demonstration will provide valuable insights. I also address common questions like "what is GPT4o" and how it differs from previous versions.

The video also delves into the broader context of artificial intelligence and how OpenAI is leading the way with innovations like ChatGPT. You'll learn about the latest advancements and how they are transforming various industries. By the end of the tutorial, you'll have a solid understanding of how to use ChatGPT 4o to enhance your research and productivity.

Summary

This text describes several ways to use ChatGPT (specifically a version called "ChatGPT for Omni") for scientific research and academic writing:

1. Paper analysis: Upload a full PDF of a research paper and ask ChatGPT to explain it, including key results, figures, and data interpretation. The model can even extract and display figures from the paper.

2. Writing assistance: Use voice input to describe research ideas, and ChatGPT can transform this into well-structured paragraphs suitable for academic writing.

3. Literature review and paper structuring: Provide context about a topic, and ChatGPT can generate a detailed outline for a literature review or research paper, including main sections and subsections.

4. Figure interpretation and paper structure: Upload multiple figures (even from different papers) and ask ChatGPT to create a story structure for a peer-reviewed paper based on those figures. The model can interpret the figures and suggest a comprehensive paper outline, including abstract, methods, and discussion points.

The author emphasizes how this tool can save time, provide starting points for writing, and even help researchers produce more papers by organizing existing data into submittable structures. They also note that this version of ChatGPT seems to require less complex prompting to provide detailed and useful responses.

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▼ ▽ TIMESTAMPS

· 00:00 Explaining Papers

·         02:36 Waffle into academic writing
·         04:42 Structures & Outlines
·         06:37 Musical Intermission
·         06:44 Visual Input

Transcript

Here's a cleaned-up version of the transcript with improved grammar, spelling, and punctuation:

The first way that you can use ChatGPT 4 O for science and research is like this: I really like using it for talking about and explaining papers. So here I've got a paper - this is one of my papers. I've uploaded it, and it's as easy as dragging and dropping it into this message bar and just saying, "Explain this paper to me and the key results." Clearly, you can do a bit better than that, but this is what I love about it. You can put in full PDFs, and it gives you an introduction, experimental approach, and the key results if you ask for them. This is what I'd be interested in with any peer-reviewed paper that I'm reading.

Then down here, it's got figures and data interpretation. This chat model gives you all the information and more. It almost anticipates what you need, which is what I absolutely love. This is a model that combines text, audio, and visual input so that you can sort of give it loads of context to get it to really hone in on what you want it to do.

So I said here, "Can you show me the figures?" This is something I've not done before with any other model, and it says here, "We are... No images were extracted from the papers I targeted," and it sort of self-corrects. So it finds the figures; first of all, it finds kind of the understanding of the figures, and then it says down here, "To provide visual context, I'll display these figures directly," and it bloody does it! Look at this - it actually got the figures from the paper. So if you want to talk about this paper in a presentation, it's easy to extract the figures. You end up with one figure that contains all of them. I absolutely love this. You can download it, and it just makes it so easy.

You can go backwards and forwards chatting to this model over and over again, and it just seems to understand exactly what you like. And like I said, it gives you so much lovely context in which it sort of responds that it is really, really useful. So if I want to know what the limitations of this research are, I can just ask it, "What are the limitations of this research?" and it has awesome memory now, so it can kind of really understand all of the thread and use context from stuff very, very early on. That's one thing I really like about it.

Look, it gives such a well-rounded, deep understanding response to this paper that it is just getting better and better. I would almost say you don't need any other sort of specialized tool anymore for science to do something like this. ChatGPT Omni is doing an amazing job.

But it doesn't just stop there. This next one is probably one of my favorite ways I've been using it recently. One of my weaknesses when I was writing up any research was the fact that I just got lost in the words. It's so easy to explain it out loud, but sometimes you get lost in the nitty-gritty of this paragraph or this word or this verb. But if you just talk about it to ChatGPT, it can give you the paragraph from your sort of jumbled mistakes of a sentence, and this is how I love using it.

So I use my phone, and I go on and I just open up the chat dialogue so I can use it with voice, and then I just push on it. The reason I push on it is so that I can actually then just talk about things without it assuming it's all done. But this is the sort of stuff that I say:

"Hello ChatGPT, I'm writing a peer-reviewed paper at the moment about single-walled carbon nanotubes and silver nanowires, and I would like to produce a transparent electrode that has strong mechanical strength because of the interwoven nature of the two materials. Can you give me a paragraph just to highlight the benefits of using a composite material like this?"

And then you release it, and it does its thing. Now it will respond to you. Here's a highlighting of the benefits of using a composite material of single-walled carbon nanotubes and silver nanowires for a... Okay, yeah, I don't like listening to it, but one thing I like to do after that is if I go to and refresh the chats that I'm having, I can then go in and say, "Okay, composite electrode benefits," then I've got this paragraph that I can use going forward, which I absolutely love. This is just such an awesome way of producing a first draft that is just so easy now to take your jumbled thoughts and turn them into precise academic language. Absolutely love it.

Check this out: "Combining single-walled carbon nanotubes with silver nanowires to create a composite material for transparent electrodes offers several significant advantages," and then it gives me those. And look, it was just from talking for a minute. Now I've got something I can work with. Love it!

Yes, yes, one thing that this new chat model does is it provides structures and outlines in a really succinct, really nice way. It really seems to get what you want to put out. Now obviously, this doesn't have specific domain knowledge, but it does incredibly well across a range of different fields, and I'm absolutely so impressed by how well it's able to navigate all the different fields and give you structures for papers, for theses, for literature reviews. Check this out.

So one of the important things is to give it context so it knows what you want it to do. So normally I say, "Context: what I'm trying to achieve and the output that I want." So in this case, I've got a literature review I want about elephants in Africa - why not? - and then also provide me with an outline. So I'm just going to send that off, and one thing you'll notice is that this is not only a very quick way of doing this, this is actually probably one of the best ways of doing this because something like this, creating a structure for a literature review, takes hours if you have to read the... Now you've got a starting point.

So here we've got all of the things that we could talk about: introduction. And the one thing I like about this model is that in the past, it used to give an outline; you have to say, "Go deeper." This kind of understands what you need from it with a very simple prompt. This idea of overly complicated prompt engineering, I think, is out the window with this model because look, it gives me not only the sections but also... In the past, I would have had to ask for this a little bit more clearly or, you know, do a follow-up prompt, but this is all in one go. And I can copy and paste this across into a document and then start fleshing out this as a literature review.

It does it for a range of fields. Check it out for your field and try it for your next peer-reviewed paper or your literature review or your essay. And I think the ability to create a structure is one of the most powerful features that you can use in ChatGPT.

This is one of my favorite ways of using ChatGPT for Omni, and that is giving it a load of figures. So I've uploaded one, two, three, four, five figures, and this is sort of like how I would use the visual capabilities of ChatGPT to write a paper. So I can say, "I'm writing a paper, and here are the figures I want to include. Create a story structure for this peer-reviewed paper." All right, I've used "peer-review" a couple of times. Let's give it loads of context to see what it does.

And so here it's looking at the figures, and the one thing it does is it can extract the text within the figures and understand what each figure is. To make this even better, I recommend that you also copy and paste in some captions because it is able to extract the text from those captions and give you even better responses.

So here we've got all of the stuff here. This is one thing that amazes me about this new model: I asked it for a structure, but it's gone above and beyond. It knows about how to create an abstract. It's got bullet points for creating your discussion. It's got details and methods: "Describe the preparation process of the P3HT blends, including the annealing and cooling." Optical properties - it's got everything that I would need to start writing a peer-reviewed paper.

The great thing about this is all it was was giving it some figures. It's just incredible. And in fact, these figures were from completely different papers. So it, uh, these four are from the same paper, this is from one, so it managed to navigate that actually pretty well. And I think that sometimes one of the hardest things about writing a peer-reviewed paper is coming up with the structure and the story that you would tell and try to sell to a journal editor.

This is how I would do it, no doubt. If I had to submit something right away, just get the data that you've got, mush it together, ask ChatGPT to create a story structure for you, and I think you'd be surprised at what is actually submittable to journals. A lot of the time, we think, "Oh, we just need that one more experiment." Now just put it in and see what comes up. I think you'll be happily surprised about the number of papers you can produce in this fashion.

If you like this video, go check out this one where I talk about ChatGPT vision and the insane things it can do for research. I think you'll love it here.

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