We build development teams_
At Boldare we have a ‘hands-on’ approach, and that’s why we decided to explore the ChatGPT topic by using it rather than reading about it. Our research & development team spent last month brainstorming, drafting, implementing, and coding AI-powered apps. In this article, we’ll share nine lessons we’ve learned about the GPT model, including the significance of vector databases, security concerns, and the importance of data. We hope you’ll find them helpful!
At Boldare we have a ‘hands-on’ approach, and that’s why we decided to explore the ChatGPT topic by using it rather than reading about it. Our research & development team spent last month brainstorming, drafting, implementing, and coding AI-powered apps. In this article, we’ll share nine lessons we’ve learned about the GPT model, including the significance of vector databases, security concerns, and the importance of data. We hope you’ll find them helpful!
It’s a revolution!
At Boldare we have a ‘hands-on’ approach, and that’s why we decided to explore the ChatGPT topic by using it rather than reading about it. Our research & development team spent last month brainstorming, drafting, implementing, and coding AI-powered apps. In this article, we’ll share nine lessons we’ve learned about the GPT model, including the significance of vector databases, security concerns, and the importance of data. We hope you’ll find them helpful!
Build and learn
One of the best ways to learn about GPT’s capabilities is to adopt a proof of concept (POC) approach. In product development, a POC provides practical evidence of the technical feasibility (or not) of an idea. Using this approach, we were able to test multiple ideas and verify our assumptions with data inputs and prompts, helping us to quickly validate hypotheses and gather valuable information for future implementations before any code is even written.
We need to put emphasis also on the process of prompting - understanding how to build and fine-tune prompts is an essential part of working with ChatGPT or similar AI apps. Iterative and intensive testing of results is crucial here.
Therefore, we suggest brainstorming, playing with ChatGPT, creating POCs and prototypes, making mistakes, and learning from them. In the near future, as GPT models improve in efficiency, security, and reliability, previous experience with the technology will be extremely valuable to businesses seeking to benefit from it quickly.
