Our Honest Review of Amazon Bedrock

Last updated:
August 13, 2024
Go to Tool

Fast Facts

Name:
Amazon Bedrock
Key features:
  • AI platform for enterprises to build, use, and customize AI models.
  • Offers a catalog of foundation models, implements retrieval-augmented generation (RAG) and vector embeddings, hosts knowledge bases, implements fine-tuning of foundation models, and allows continued pre-training of selected foundation models, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. 
  • Use the API or GUI in the console to test various prompts and configurations with different foundation models.
  • Improves response generation by incorporating external data sources into knowledge bases, which can be queried to augment the responses from foundation models.
  • Develops customer support applications, customizes models, and boosts application efficiency. (credit)
Our take:
If you’re an enterprise deploying AI models.
Pros:
  • A wide variety of AI models to use (33) and three different playgrounds to play around in!
  • Complements the almost 30 other Amazon machine learning services available, including Amazon Q, the AWS generative AI assistant

Cons:
  • You need to request access to models before you can use them
  • Requires an extra prompt “Let’s think step by step.” Without that line, the model often goes off the rails and generates a wrong answer.

Pricing:

Our Review

Use This Tool

Tutorials coming soon.
Back

Amazon Bedrock

Key Features

  • AI platform for enterprises to build, use, and customize AI models.
  • Offers a catalog of foundation models, implements retrieval-augmented generation (RAG) and vector embeddings, hosts knowledge bases, implements fine-tuning of foundation models, and allows continued pre-training of selected foundation models, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. 
  • Use the API or GUI in the console to test various prompts and configurations with different foundation models.
  • Improves response generation by incorporating external data sources into knowledge bases, which can be queried to augment the responses from foundation models.
  • Develops customer support applications, customizes models, and boosts application efficiency. (credit)

The Interface

View full pricing breakdown here

Target demographic

Technical teams at enterprises

Our take

If you’re an enterprise deploying AI models.

Pros

  • A wide variety of AI models to use (33) and three different playgrounds to play around in!
  • Complements the almost 30 other Amazon machine learning services available, including Amazon Q, the AWS generative AI assistant

Cons

  • You need to request access to models before you can use them
  • Requires an extra prompt “Let’s think step by step.” Without that line, the model often goes off the rails and generates a wrong answer.

Pricing

Get the latest AI

email graphics

right in

email inbox graphics

Your Inbox

Join 450,000+ professionals from top companies like Disney, Apple and Tesla. 100% Free.