3.1 Design considerations for Foundation Models
This task focuses on design considerations when using foundation models in applications. The key factors to consider when selecting pre-trained…
Quiz 2
Question 1: A retail company wants to start testing Amazon Bedrock foundation models (FMs) for text generation and customer-facing natural…
2.8 Understanding Cost Tradeoffs for AWS Gen AI Services
When using Large Language Models (LLMs), there are two main pricing models: AWS Global Infrastructure AWS offers a globally resilient…
2.7 AWS for Building Generative AI Applications
AWS offers several advantages for building generative AI applications, including: Transfer Learning for Faster Model Training AI model training can…
2.6 Choosing and Evaluating Generative AI Models
When selecting a generative AI model, several factors need to be considered: Types of Generative AI Models Generative AI foundation…
2.5 Model Fine Tuning and Performance
Fine-Tuning for Better Performance Fine-tuning helps improve LLM performance by making them understand human-like prompts and generate natural-sounding language. However,…
2.4 Generative AI Project Lifecycle
A generative AI project typically follows these stages: Stages of the AI Cycle: AI Model Development Process Identify Use Case:…
2.3 Generative AI Architectures
Generative AI models create new, synthetic data based on existing data. The three key architectures in Generative AI are: 1.…
2.2 GEN AI and Large Language Models
Generative AI models perform better when they are larger, but training these large models is difficult and expensive. As models…
2.1 Basic Concepts of Generative AI
Generative AI is a subset of deep learning focused on generating new content such as text, images, audio, video, and…