Operationalization framework
In the rapidly evolving landscape of GenAI, it’s crucial to have a structured approach to operationalizing your newly created applications. The operationalization framework we’ll explore consists of four interconnected layers: Data, Training, Inference, and Operations. Together, these layers provide a comprehensive blueprint for effectively harnessing the potential of GenAI models in your applications. In the following list, we’ll touch on what each of these four interconnected layers are:
- Data layer: The foundation of any successful GenAI application lies in the quality and quantity of data. This layer encompasses data velocity, curation, prompt and training data pre-processing, and overall data management.
From a training perspective, ensuring that the data is relevant, diverse, and representative of the target domain is paramount. Techniques like distillation and filtering play a vital role in enhancing the...
