---
title: ECE09488 AWS Assignment Notes
author: Aidan Sharpe
date: April 24th, 2025
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Video: [Amazon AI Conclave 2024 Generative AI Keynote | AWS Events](https://www.youtube.com/watch?v=p_CwWdPTdm8&list=PL2yQDdvlhXf8xcKr0-BHEyg_8VB4tWdu1&index=12)

## Overall vision
- Enable easy deployment of generative AI in the cloud
- "Drag and drop" foundational models
- Make comparing models easy

## New services
- Amazon Bedrock
	- Model evaluation
	- Knowledge bases
	- Agents
- Amazon Titan Foundation Models
	- Titan Text Embeddings
	- Titan Text Lite
	- Titan Text Express
	- Titan Multimodal Embeddings
	- Titan Image Generator
- Amazon Q

## Use cases
- Choose between models from different providers
	- AI21Labs Jurassic
	- Amazon Titan
	- Anthropic Claude
	- Cohere Command + Embed
	- Meta Llama 2
	- Stability AI Stable Diffusion
- Stitch different types of models together
	- Text and images

## Demos
- Demonstrated automatic model evaluation on a specific task type (text summarization) on several different metrics
- Demonstrated knowledge bases using text stored in an S3 bucket to give information to models