Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
jurassic-2-mid— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDjurassic-2-midUse Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="jurassic-2-mid",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])About AWS Bedrock
Amazon Bedrock is a comprehensive, fully managed service for building and scaling generative AI applications. The platform provides access to a diverse array of high-performing foundation models (FMs) from leading AI companies through a unified API, enabling users to select the most suitable models for their specific use cases. Key features include model customization using proprietary data through techniques like fine-tuning and Retrieval Augmented Generation (RAG), which significantly enhances the relevance and accuracy of AI outputs. Additionally, the platform supports the automation of complex tasks with agents capable of executing multi-step operations, making it versatile for applications ranging from text generation and image creation to conversational AI. Beyond its robust technical capabilities, Amazon Bedrock offers a serverless experience that streamlines infrastructure management, allowing developers to focus on application development without the burden of managing underlying resources. The platform prioritizes security and compliance, ensuring that data remains within the AWS ecosystem and adheres to industry standards. Bedrock's flexible pricing models, including pay-as-you-go options, enable organizations to effectively manage costs while scaling their AI initiatives. This combination of advanced features, ease of use, and cost-effectiveness positions Amazon Bedrock as a powerful tool for businesses looking to innovate rapidly in the generative AI space, ultimately enhancing productivity and operational efficiency.
AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $12.50 |
| Output tokens | $12.50 |
Capabilities
About Jurassic-2 Mid
Jurassic-2 Mid, developed by AI21 Labs, is a large language model that balances quality, speed, and cost, making it well-suited for complex language tasks such as chatbots and conversational interfaces. It has a parameter size of 17 billion and supports multiple languages including Spanish, French, German, Portuguese, Italian, and Dutch. Optimized for generating precise text from instruction-only prompts, the model is capable of zero-shot text generation without requiring examples. Despite its powerful capabilities, it shares common limitations with other LLMs, such as potential inaccuracies, lack of coherence, and the presence of training data biases. It was trained on a vast corpus of roughly 1.2 trillion tokens from diverse sources like CommonCrawl, Wikipedia, and Stack Exchange. Jurassic-2 Mid has an end-of-life date set for November 14, 2024 12.