From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

Unlock this course with a free trial

Join today to access over 24,900 courses taught by industry experts.

Question breakdown, part 2

Question breakdown, part 2 - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep

Start my 1-month free trial Buy for my team

Question breakdown, part 2

“

- In this practice question, we are going to look at a scenario that involves customizing an AI model in the context of customer support. So here's the question. A tech startup is looking to deploy an NLP, natural language processing model, tailored for customer support. They want a solution that minimizes costs while allowing for rapid implementation and flexibility in adjusting the model's responses based on specific queries. Which customization approach should they choose? And we have four options here. Pre-training, fine tuning, in-context learning, and RAG, which stands for retrieval-augmented generation. Let's walk through these and see if we can identify the differences between them so that we can determine whether or not they meet the requirements. Pre-training. Pre-training is when you build the model in the first place. You can get a highly specialized model out of this, but it's resource-intensive, it's time-consuming, and that's not necessarily what we're looking for here.…

Contents