Is this the biggest ChatGPT Update? Code Interpretor AI newmarwat

Is this the biggest ChatGPT Update? Code Interpretor AI

ChatGPT has recently become significantly more powerful with the introduction of the code interpreter feature. Many individuals have been leveraging this tool to perform incredible tasks, such as creating GIFs, converting images into animated videos, analyzing data, and much more, all through the use of prompts. In this video, we will explore what the code interpreter is, its various use cases, how I personally use it for YouTube analysis, and share free resources to help you become a proficient prompt engineer. So, without further ado, let's dive in.

 

Today, we will delve into the workings of ChatGPT's latest code interpreter. This video will be divided into three modules. Firstly, we will gain an understanding of what the code interpreter is and explore its diverse use cases. Next, we will explore how I utilize this new feature within ChatGPT for analyzing my YouTube content. Additionally, we will discover some prompts that can be used to seek mentorship from ChatGPT to enhance your content or address various topics. Lastly, I will share a valuable list of free resources that can assist you in becoming a proficient prompt engineer.

Let's begin with the first module: What exactly is the code interpreter? If you have the Pro Plan for GPT, which costs around $20 per month or 1800 rupees per month, you gain access to GPT Plus. Within GPT Plus, they have introduced a groundbreaking feature called the code interpreter. This feature may sound a bit complex, but I'll break down its use cases.

For a considerable time, it was not possible to instruct GPT to process large sheets of data or CSV files. However, with the code interpreter, you can now upload Excel and CSV files and ask ChatGPT to find patterns, perform comparisons, and execute various actions. These actions include basic image editing tasks like cropping, adjusting color saturation levels, converting images to black and white, and even creating QR codes. Furthermore, you can convert between different image formats, such as JPEG to PNG and vice versa. 

You can also upload an image and request ChatGPT to generate a color palette, identifying dominant colors in the image and providing an RGB palette. Additionally, you can analyze ZIP files, making it convenient to process multiple documents contained within a single ZIP file. It's worth noting that if you attempt to process extremely large files, there may be instances of errors or crashes, as this feature is still in its beta phase.

Now, let's move on to practical examples of how the code interpreter can be used. Instead of running all the prompts in real-time, I've prepared screenshots and slides to showcase its capabilities. I'll also provide screen recordings where appropriate.

It's important to note that this feature is available exclusively for the Plus Plan, but regardless of your plan, you can always ask ChatGPT how it can assist you. This is a point that many people overlook, but ChatGPT is there to provide guidance whenever you're uncertain.

To kick things off, I asked ChatGPT, "What can the code interpreter do for me?" It provided a comprehensive list of actions it can perform. However, I believe that, for students and young professionals, only a few of these use cases are genuinely practical. As a result, I will focus on the most practical ones.

For demonstration purposes, I used a dataset from my YouTube studio, which is both practical and relevant. By going into YouTube studio and accessing the advanced mode, you can choose to either create a Google Sheet with your data or download a CSV file. I downloaded the CSV file and uploaded it to ChatGPT, instructing it to analyze all the data in the sheet, which pertained to my YouTube channel. I requested insights and suggestions for improving YouTube titles and generating new video ideas. ChatGPT proceeded to scan the entire document and provided insights, although the advice it offered was somewhat basic.

If you wish to practice using the code interpreter, websites like Kaggle and Google Trends provide datasets that you can use. You can then explore the different ways to generate graphs and analyze data within these sheets. The code interpreter offers several options for data analysis and visualization, depending on the specific insights you seek.

For example, it can create correlations between different properties, identify trends over time (such as subscribers), compare the performance of various videos, and even create word clouds of titles. It can also perform time series analysis, which you can request examples of and seek explanations for if you're unfamiliar with the concept.

I also tested the QR code generator feature, which worked seamlessly. I instructed ChatGPT to create a QR code for a specific URL, and it promptly generated a QR code in JPEG format. However, I didn't determine the duration of validity for these QR codes, so if you have information on that, feel free to share it in the comments.

Additionally, I uploaded an image and asked ChatGPT to identify dominant colors and create a color palette. In my first attempt, it didn't work, but upon reattempting, it successfully generated a list of five dominant RGB colors. There was a momentary pause in the middle, but it ultimately provided me with a neat image displaying the color palette. While some of these functions may not be immediately applicable to our needs, it's essential to recognize that this technology is evolving and can process a wide range of data types.

Now, let's explore how I used these features for my YouTube channel. One of the first tasks I performed was generating a word cloud of video titles. This visualization allowed me to identify which keywords were frequently used in my video titles throughout the year. Notably, words like "design," "UX," "AI," and "sigma" had the highest prominence, providing insights into the content areas I had focused on.

The code interpreter also provided valuable insights, suggesting that videos with "UX" or "AI" in the title tend to perform well. While this advice may not be groundbreaking, it demonstrates the code interpreter's ability to identify commonalities within a dataset.

I also explored its graph generation capabilities to analyze performance by video category. After a brief delay, ChatGPT produced four graphs showcasing average views, watch time, subscribers, and impressions click-through rates categorized by different video types. Surprisingly, "app redesign" videos performed exceptionally well, despite my initial perception that they were a niche category. This data-driven insight reshaped my content strategy, emphasizing the importance of data-driven decision-making.

"Put it in our list of ideas as well; then, it's about optimizing video titles for better impressions. The word cloud analysis showed that words like 'design,' 'UX,' 'career,' and 'Hindi' frequently appear in your video titles. So, now, this was actually good advice, but to get to this point, I actually had to prompt GPT again and again, right? 

So, this video won't be very in-depth because, to be honest, the prompts I showed you just now are the good ones. Everything else might not be relevant, at least to my audience, because you guys are not core prompt engineers or core programmers. So, I would recommend you to check this out and start improving your prompting skills in general.

I wanted to share some resources that you can use – free resources to improve your prompt engineering skills. So, the first one is, of course, our own YouTube playlist. I always recommend this because, to be honest, I'm not seeing enough in-depth content on YouTube that talks about prompt engineering in detail. There are four or five creators that I really look up to, and I keep mentioning them again and again. But apart from those four or five people, I see that I'm very excited to cover these small nuances of prompt engineering. 

So, this playlist covers ChatGPT mid-journey and a collection of some very good prompts. There's even one video in Hindi, so this one will help you get started if you're more comfortable learning in Hindi. But as I keep saying, it's better to start improving your English writing and speaking skills because they will be very important when you prompt these tools.

If you really want to dive into the depths of ChatGPT prompt engineering, then OpenAI has its own documentation. Even within that, you need to click on 'Guides,' and there's 'GPT Best Practices.' If you follow all of these practices, you will become a very sharp prompt engineer, but it's specific to ChatGPT. Personally, I feel that soon, all of these models will follow the same first principles. So, if you go through this documentation, there's a lot that you will improve.

Then, there are some resources to keep you up to date with the latest AI tools and prompt templates. There's one website called 'AI Valley' (AI Valley AI). I keep sharing these resources because anytime I talk about ChatGPT and mid-journey, a lot of people believe that these are the only tools you need to learn. In reality, these tools are the most popular ones, and they're positioned very well. 

But very soon, in the next six to eight months, every single field – finance, sales, marketing, design – all of these fields will have their own specialized individual AI tools. So, if you know those specific core subject-related AI tools, you will always have more leverage. These websites are where you can find those trending tools, and you can also find some trending prompt use cases that will just open up your mind to different possibilities.

There's another competitor to AI Valley, it's called 'Super2' (Super 2) at 'rundown.ai.' This one also has a huge list of AI tools. You can always go to the 'Top Picks' section and just quickly skim through. Make it a habit, maybe once every two weeks, to go through these websites to keep yourself updated.

Then, you also have 'DataFit.ai.' I love this website because it has a huge dataset of prompts, and these prompts are very detailed. So, of course, you don't have to reuse all of these, but just in this specific case, the top one is the 'Effortless and Universal Mid-Journey Prompt Generator.' Now, very few people know that you can always train your ChatGPT into a mid-journey prompt generator. This website has some very cool trending prompts, very underrated niche use cases.

Next, we have 'PromptVine.com.' Again, this is also a huge collection of ChatGPT prompts. It's not just for ChatGPT; you can use the same prompts in Google, Bar, Perplexity, AI, A5, or whatever you're using.

Then, we have 'LearnPrompting.org.' This documentation is slightly intimidating because it has a lot of content in it. But if you're in school or if you're in your first year of college and you have that kind of time on your hands, I would strongly recommend you to check this out. This one is very detailed and nuanced.

There's also 'Futurepedia.io.' This is again a huge repository of AI tools, and I personally feel that this one is the most comprehensive. The number of AI tools that this website has is unbelievable. They keep adding these tools daily, and they also have a 'Trending AI Tool' column. You will be shocked to see the kind of things that people are making in the world right now.

Then there's 'There's an AI for That' (AI For That.com). When you go to this website, instead of small tools, they also have libraries. Very specific use-case AI. They might not be the best fit; they might not solve so many problems. But again, it's just interesting to know that there are people solving small problem statements using AI. Very soon, there will be one big umbrella tool which would encapsulate all of these use cases. But it's just to make you aware of where the world is leading right now.

When you go through these resources, it's very important that you document everything you learn; otherwise, you will forget. There are many documentation tools, but I personally use Notion. If you don't know how Notion works, I've also made a YouTube video that explains how to use Notion. I actually show you my Notion pages, how I document, what my logic is behind it, and some quick shortcuts.

So, this was a simple, clean video. I didn't want to make it very in-depth because it's a straightforward topic to understand. Apart from this, we have some very in-depth videos on writing UX case studies, redesigning UI, and making UI improvements. So, there's a lot that you can learn for free. I will put all the links in the description. Let me know in the comment section if there's something specific you want me to cover in the next video.

We've been uploading some cool reels on our Instagram as well. We have a broadcast channel where I keep sharing these resources. So, if you join that broadcast channel, you'll have access to more behind-the-scenes content, resources, insights, and thoughts. I keep posting there. You'll find the link in the description. Make sure you click on 'Subscribe' and hit the bell icon so that you never miss an update.

I hope you're taking care of your mind and body. This is your dost, Ansh Mera, signing out. If you liked this video, make sure you click on 'Like' and hit the 'Subscribe' button. I regularly upload videos on UX design, marketing, and storytelling."