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Increase the Power of AI with OpenAI Custom GPT

Posted: Mon Dec 09, 2024 5:41 am
by mstlucky8072
Artificial intelligence (AI) has made the fear of machines taking our jobs widespread. What if you could create your own virtual assistant and have it serve you instead? That future is here now with OpenAI’s Custom GPT feature. This tool allows you to create customized AI assistants without any coding and increase your productivity. I have explained how you can create your own Custom GPT in another article. In this article, I will explain how you can increase your productivity with custom GPTs with insights from Ozan Ketenci’s presentation at the Digitalzone’23 event.



Artificial Intelligence Assistants Made Accessible
In the past, specialized AI systems required specialized knowledge and resources. First, you had to collect extensive training data on the desired area of ​​expertise. Then, your data science team would spend weeks building and refining the underlying AI model to create your assistant.

OpenAI has simplified this process. Custom GPT uses the pre-trained capabilities of GPT-4, the most powerful AI language model to date. Users simply type in simple text describing how they want to implement and use the model, and OpenAI technology takes care of the heavy lifting of customizing the AI ​​to their specifications.

Within minutes, you have an AI assistant tailored to your unique needs to tackle daily business challenges.

What could you achieve with special assistance from a tireless artificial brain? Let's explore some applications.

Man working with AI

Unlimited Personalized Applications
A “General” AI bot like ChatGPT has already proven itself overseas chinese in europe data to be successful in having conversations and responding to a variety of topics. However, when it comes to professional subject matter expertise, one size does not fit all. A “Special” GPT trained with legal resources will provide more informed advice to an attorney than a “General” bot.

Personalized applications

This is true for almost every industry and specialty, including healthcare, retail, finance, engineering, education, and more. The key here is to load specific training data into your assistant’s knowledge base, which will allow GPT-4 to learn the specifics of your field.


Some examples include:

Marketing assistant optimizes campaigns by analyzing reports from your advertising platform
Sales Rep: Recommend best targets by pulling real-time data from CRM
Customer Support Tool: scan manuals and documentation to resolve customer requests
Writing Assistant: Proofread blog posts and check SEO best practices
These examples are just the tip of the iceberg. As capabilities expand and data entry increases, we can expect Custom GPT usage to spread to all corporate roles.

Multi-Step Automations with Artificial Intelligence
Question answering is an obvious first application for AI bots. Do you need to check edits, analyze campaign metrics, or format structured data? Instead of scouring sources yourself, just ask. That alone is a huge improvement over manually searching for answers.

However, Custom GPTs can provide even more transformative benefits through automation across multiple services. With OpenAI’s Actions framework, you can connect external APIs, browsers, databases, analytics tools, and more.

Put this together and your assistant can run the entire multi-step process for you, end-to-end. Let’s say you want to get search analytics reports from Google. You also want to automatically email completed documents to clients every week and save copies to your cloud storage. This entire set of features can be activated without any coding on your part for integration, simply by defining the desired outcome in detail.

The possibilities are endless here. It's clear that this will truly revolutionize the use of AI.

Limitations and Room for Growth
As with any groundbreaking advancement, the current iteration of Custom GPT has room to mature before it can realize its full potential. Handling bulk and large API responses can sometimes overwhelm these AI assistants today and cause them to fail. Analysts are working to improve the logic behind assistant recommendations to minimize this.

A tree showing limitations and growth area

Still, such growing pains are to be expected from the open beta of platforms powering custom AI. Just as GPT-4 has improved in accuracy and capability over time, so too will custom models improve as OpenAI expands infrastructure and training.

For the most complex automations, expert users may still want to use OpenAI’s robust Assistant APIs, which offer direct access to write custom functions in Python and other languages ​​as needed. But the beauty of Custom GPT is that it opens up AI expertise to non-coders.

Create Your AI-Powered Assistants
We are on the cusp of a workplace evolution driven by AI assistants that can elevate any role. These tools can lift the burden of monotonous administrative tasks off of people’s shoulders while integrating institutional knowledge into every decision.

Early adopters of Custom GPT to boost their productivity will have an advantage over their peers who stick to the old ways. It’s time to try creating your own personalized AI tool that fits your current workflows. Start building a simple version today, then continue to evolve over time to handle more complex tasks.

You can read my detailed blog post to take the first step towards an AI-powered workforce .