Custom GPTs are like hidden treasures. Many exist in the marketplace, targeting marketplace announcements.
The latest OpenAI announcement toldthat the GPT Marketplace would be available early this year. According to their previous blogs, it seems they plan to monetize these GPTs.
Thus, we have a brief window to use these tools before paying for them. The ones whose links I’ll provide and use will feel almost illegal. You’ll understand more by the end of the article. Let’s start!
ScholarAI
Link : https://chat.openai.com/g/g-L2HknCZTC
Views : 52.8K
Let’s try finding information about award-winning machine learning models. Maybe, you’ll be the one to earn the $10K next time. Here is the prompt.
Please provide information about award-winning machine learning models.
Focus on recent achievements, including the models' names, the awards they've won, and their significant contributions or innovations in the field of machine learning.
Now before seeing the output, It wants sign-in.
Great, after creating an account, and allowing this plug-in, let’s see the output.
Now, let’s select one link from ChatGPT’s output and see how the next plug-in interprets this file. I chose the third one.
AskYourPDF Research Assistant
Link : https://chat.openai.com/g/g-UfFxTDMxq-askyourpdf-research-assistant%E2%80%A6
Views : 139K
Now, I have downloaded the PDF file from the provided links in Scholar AI's output. Here is the prompt I used;
I want to know more about : award-winning solutions from the public Kaggle competition "IceCube -- Neutrinos in Deep Ice
Here is the output.
ResearchGPT
Link : https://chat.openai.com/g/g-bo0FiWLY7-researchgpt
Views : 311.4K
Again, let’s use same prompt, to see how this plug-in works for this.
Here is the output.
Ai PDF
Link : https://chat.openai.com/g/g-V2KIUZSj0-ai-pdf%E2%80%A6
Views : 244.8K
I chose 5th from the list above and download the PDF of this research. Let’s see the output.
Final Thoughts
Thanks for reading this. Back then, finding and reading research papers took 10 to 15 times longer. But, thanks to these custom GPTs, you now have the chance to enhance your knowledge immediately.
If you like what you saw and curious about what comes next, you can subscribe to me on substack, to reach our GPT models developed by my team , AI News (listen or read), exclusive articles and projects, here.
These and Weekly AI pulse are available for my paid subscribers on substack.
Here are free resources of mine.
Here is the ChatGPT cheat sheet.
Here is my NumPy cheat sheet.
Here is the source code of the “How to be a Billionaire” data project.
Here is the source code of the “Classification Task with 6 Different Algorithms using Python” data project.
Here is the source code of the “Decision Tree in Energy Efficiency Analysis” data project.
Here is the source code of the “DataDrivenInvestor 2022 Articles Analysis” data project.
“Machine learning is the last invention that humanity will ever need to make.” Nick Bostrom