bedrock

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AWS 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 1,108 stars 441 forks Updated today 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 \ ...

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Author
itsmostafa
Repository
itsmostafa/aws-agent-skills
Created
7 years ago
Last Updated
today
Language
Python
License
MIT

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