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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
![](https://cdn.prod.website-files.com/6449a72526ec4987103ca41b/66b9b046440ab5aaf4f25b70_AD_4nXerv3GHO3cqWs5xlKxTwfBA7jCKX3_ynB0zTFLF1Yb5PemYdjdCm9i1R-StawwScCu5HbZI5PFjpfmXW4R2Z_QcOLX_KyVwi7X4kIAJe9T79mr7bOSkByRVH3neJyWY9XXkrYaUWnKpUk7mlx9EJAnCWQvp.png)
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
![](https://cdn.prod.website-files.com/6449a72526ec4987103ca41b/66b9b03783d2e9241b2edd24_AD_4nXdidP7waeT-ug7A3-0uYrRHDGXNBzFfW-ddK33PiaU1Pw8DhGEHC5KQJcbouSoO_659ntOsU5X6xMNQGn7Vll_tT-4Xx4U0e31486J4p5nDPTHTSVnhMRGtaqwtl8lOjmLrdiqgeDt4QNEjAUhBDHvHZq1s.png)
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