bedrock
FeaturedAWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
AI & Automation 1,139 stars
443 forks Updated yesterday MIT
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# AWS Bedrock
Amazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities.
## Table of Contents
- [Core Concepts](#core-concepts)
- [Common Patterns](#common-patterns)
- [CLI Reference](#cli-reference)
- [Best Practices](#best-practices)
- [Troubleshooting](#troubleshooting)
- [References](#references)
## Core Concepts
### Foundation Models
Pre-trained models available through Bedrock:
- **Claude** (Anthropic): Text generation, analysis, coding
- **Titan** (Amazon): Text, embeddings, image generation
- **Llama** (Meta): Open-weight text generation
- **Mistral**: Efficient text generation
- **Stable Diffusion** (Stability AI): Image generation
### Model Access
Models must be enabled in your account before use:
- Request access in Bedrock console
- Some models require acceptance of EULAs
- Access is region-specific
### Inference Types
| Type | Use Case | Pricing |
|------|----------|---------|
| **On-Demand** | Variable workloads | Per token |
| **Provisioned Throughput** | Consistent high-volume | Hourly commitment |
| **Batch Inference** | Async large-scale | Discounted per token |
## Common Patterns
### Invoke Model (Text Generation)
**AWS CLI:**
```bash
# Invoke Claude
aws bedrock-runtime invoke-model \
--model-id anthropic.claude-3-sonnet-20240229-v1:0 \
--content-type application/json \
--accept application/json \
...
Details
- Author
- itsmostafa
- Repository
- itsmostafa/aws-agent-skills
- Created
- 7 years ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
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