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.
Pretrained model selection criteria - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified AI Practitioner (AIF-C01) Cert Prep
Pretrained model selection criteria
- Instead of defining a number of different foundation model selection criteria, we're going to follow the experience and scenario of GlobalTech, a fictional company. They're planning to develop a multilingual customer support chatbot. The decision-making process is going to involve evaluating different pre-trained foundation models and looking for certain specific properties that will meet their business objectives. The first criteria is cost. They have budget allocated for the project and they take the time to compare different pre-trained models. They consider licensing fees and the computational costs of running these models. And what they find is that some of these models are too expensive, others fit within their budget, and they meet their needs without compromising performance. Our next criteria is modality. This is a chatbot, it's going to interact using text, and that means that GlobalTech can then focus on text-only models. They're going to explore options that can…
Contents
-
-
-
-
-
-
-
-
-
-
(Locked)
Module 4: Applications of foundation models introduction41s
-
(Locked)
Learning objectives34s
-
(Locked)
Pretrained model selection criteria5m
-
(Locked)
Model inference parameters3m 54s
-
Introduction to RAG5m 1s
-
(Locked)
Introduction to vector databases4m 15s
-
(Locked)
AWS vector database service3m 16s
-
(Locked)
Foundation model customization cost tradeoffs3m 16s
-
(Locked)
Generative AI agents5m 17s
-
(Locked)
Question breakdown, part 12m
-
(Locked)
Question breakdown, part 22m 50s
-
(Locked)
-
-
-
-
-
-
-
-