Generative AI application development frameworks
In this section, we will focus on the popular generative AI-based app development frameworks used by developers today in their applications, as they add functionality and extensibility to LLMs.
But why do we need to modernize existing ML applications to use intelligent generative AI in the first place? Let’s compare and contrast application characteristics without generative AI and the modernized applications infused with generative AI.
Current ML applications have some of these common characteristic limitations:
- They are constrained with their interactions, especially with generative AI services.
- They are hard-coded and usually have a fixed dataset. For example, one can leverage certain datasets to train certain ML models, and those models are fixed.
- If they then want to change a model within an application or if they want to change the dataset entirely, they will need to again retrain the model, which is...
