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| title | author | date | geometry | colorlinks |
|---|---|---|---|---|
| ECE09488 AWS Assignment Notes | Aidan Sharpe | April 24th, 2025 | margin=1in | true |
Video: Amazon AI Conclave 2024 Generative AI Keynote | AWS Events
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