Avoiding ChatGPT limitations, biases, and inappropriate responses
A puzzle piece might not fit a puzzle because it is from a different puzzle. We love to take a new tool and apply it to every solution. A hammer has a lot more uses than just pounding nails, but that doesn’t make it the right tool for the job. ChatGPT’s unique ability to predict what to say next will not always fit a specific use case perfectly. There are plenty of spaces where there might not be a good match. Or, as shown in the enterprise patching example, it’s not necessary to apply ChatGPT to every step to get value. Not only should the use cases be the most important, but they should also be ones where ChatGPT integration makes sense. Here are some areas where it might be challenging to apply ChatGPT to a solution and some creative thinking to help if these situations apply.
Lack of real-time information
Foundational models have cut-off dates for the ingestion of new material. A new model...
