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Salesbot GPT- Build your own Custom GPT

We recently hosted another successful Learn@Lunch event in collaboration with the wonderful team at @yesmontreal, attracting an impressive 100 signups.

The event reached capacity, reflecting its high demand and the popularity of the subject matter. A heartfelt thank you to all who contributed to the organization and those who attended, making this event a remarkable success.

The webinar yielded some insightful takeaways, and we conducted several polls whose results will be explored in future posts and online sessions. For those interested in delving deeper into these insights, I encourage you to follow Yes Montreal for updates on our upcoming events.

A striking revelation from the event was that 70% of the participants had never used ChatGPT before. This was particularly surprising, considering that some attendees from our previous event were already adept users of ChatGPT Plus. This disparity underscores the existence of a significant number of potential users yet to explore ChatGPT, in contrast to a smaller but active group of power users.

Another point that generated considerable interest was ChatGPT's new feature that allows users to build their own custom GPT. Many attendees were curious about how this functionality works. It's noteworthy to mention that this feature, along with the new Assistants feature for developers, was introduced only a week prior to our event. These innovations have been drawing significant attention, and their potential was highlighted during our event, even causing ChatGPT to momentarily crash or hang.

The capability to create custom GPTs tailored to specific needs is a ground-breaking advancement from ChatGPT. It opens up new possibilities for customization and efficiency, making it an essential tool for anyone looking to leverage AI in their work or personal projects.

Now you may think this is a bad thing for developers who were building custom applications and wrappers for ChatGPT but there are pro’s and con’s to building a custom GPT vs building a custom application using the API.

In the rapidly evolving landscape of AI and ChatGPT, it's essential to understand the differences between using a custom GPT and developing a custom application utilizing the API. The former offers a fast-track to prototyping and testing AI capabilities, making it incredibly valuable for those looking to quickly deploy a functional AI model. This approach is especially beneficial for Plus subscribers on ChatGPT's platform, as it provides a streamlined, user-friendly way to tailor the GPT to specific needs without extensive technical overhead.

On the other hand, creating a custom app using the API presents a different set of advantages. It allows for deeper customization, granting developers more control and flexibility over the AI's functionalities and integration capabilities. This path is ideal for those seeking to embed AI into more complex systems or applications where specific behaviors, responses, and integrations are required. While it demands more technical expertise and development time, the payoff is a highly tailored solution that aligns precisely with business needs and workflows.

Both approaches serve different purposes and cater to varied levels of technical proficiency and project scopes. The choice largely depends on the immediate needs of the business, the desired level of customization, and the resources available for development.

To that end I will be delivering a webinar to help understand the differences between the two and provide a quick walkthrough of how to take advantage of the new Custom GPT feature.

Be sure to stay tuned and follow along to get updates on our future events offers we will be rolling out around these new features.


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