43 lines
1.1 KiB
Markdown
43 lines
1.1 KiB
Markdown
---
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title: ECE09488 AWS Assignment Notes
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author: Aidan Sharpe
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date: April 24th, 2025
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geometry: margin=1in
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colorlinks: true
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---
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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)
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## Overall vision
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- Enable easy deployment of generative AI in the cloud
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- "Drag and drop" foundational models
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- Make comparing models easy
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## New services
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- Amazon Bedrock
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- Model evaluation
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- Knowledge bases
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- Agents
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- Amazon Titan Foundation Models
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- Titan Text Embeddings
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- Titan Text Lite
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- Titan Text Express
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- Titan Multimodal Embeddings
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- Titan Image Generator
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- Amazon Q
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## Use cases
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- Choose between models from different providers
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- AI21Labs Jurassic
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- Amazon Titan
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- Anthropic Claude
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- Cohere Command + Embed
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- Meta Llama 2
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- Stability AI Stable Diffusion
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- Stitch different types of models together
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- Text and images
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## Demos
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- Demonstrated automatic model evaluation on a specific task type (text summarization) on several different metrics
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- Demonstrated knowledge bases using text stored in an S3 bucket to give information to models
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