Amazon Bedrock is transforming how businesses adopt Generative AI by simplifying access to top-tier foundation models via a single API. With Bedrock, developers can build, scale, and deploy AI-powered applications effortlessly—without worrying about managing infrastructure or training models from scratch.
Whether you’re creating conversational chatbots, streamlining workflows, or enhancing decision-making, Bedrock offers the foundation to innovate with confidence.
Why Amazon Bedrock Stands Out
Bedrock’s fully managed service ensures businesses can leverage AI responsibly and at scale.
Why Do We Need Custom Models?
Custom models allow businesses to tailor AI to their unique needs by:
Integrating Custom Models with Bedrock
Why integrate custom models with Amazon Bedrock?
It offers the best of both worlds: customization and simplicity.
Prerequisites for Custom Model Import
Before importing your custom model into Bedrock, ensure the following:
Step-by-Step Guide: Importing Custom Models into Bedrock
1. Download the Model
Obtain the model (e.g., meta-llama/Llama-3.2-1B) from Hugging Face or use Git LFS to clone:
2. Upload to Amazon S3
Upload the model files to an S3 bucket in the same AWS Region where the model will be imported:
3. Import the Model in Bedrock
4. Authorize Access
Create a new IAM service role or use an existing one with the required permissions:
5. Submit the Import Job
Once submitted, the import job takes approximately 10 minutes to complete. Afterward, you can access your custom model via Bedrock APIs.
Using Custom Models with Bedrock: Python Example
Here’s a Python script to invoke your custom model:
Sample Input:
system_prompt = “You’re a helpful assistant.”
user_question = “How to write a welcome email to a new employee?”
Sample Output:
{
“response”: “Subject: Welcome to the Team!\n\nDear [Employee’s Name],\n\nWe are thrilled to have you join our team! Your skills and talents will be a great addition to our organization. Please let us know if you need any assistance as you settle in.\n\nLooking forward to working with you!\n\nBest Regards,\n[Your Name]\n[Your Position]”
}
Key Considerations