Serverless service offering access to a variety of foundational AI models.
Overview
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Overview
In 1 sentence, what does this tool do?
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
What problems does it solve?
Enables easy experimentation and customization of large language models for diverse use cases without infrastructure management.
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How does this tool help your team?
We use several different foundational models (also known as large language models, or LLMs) for different purposes. Each LLM has its own strength and is best utilized for the specific use case at hand. Given that LLMs have incredibly large compute and infrastructure footprint, we use Bedrock to click and install the required LLM, run the necessary training or inference jobs in a serverless architecture, and uninstall it at the end to save costs.
What do you like/ dislike about this tool?
Ease of use is the best feature of the tool.
What tips do you have for beginner users?
Try out AWS Bedrock playground first to decide which LLM model suits your use case and then quickly get into the POC using the API exposed by AWS.
Usage
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