AWS Bedrock Approach vs. Google & OpenAI

Are the Giants taking the same approach?

AWS Bedrock is the latest GenAI offering on AWS. A successor of its private beta launched in April, Bedrock opens doors to using foundation models (FMs) of leading AI corporations through a single API. Sparing developers the headache of deploying and managing those models themselves.

But it also comes months after Google and OpenAI released their offering. How does it compare? Which one should I choose? And is there a difference at all?

A Plethora of Models to Choose From, but how?

One thing AWS is doing exceptionally well compared to Google. AWS offers open-source LLMs behind the same API interface. I really like this approach and hope we see more models in the near future.

The list of available foundation models on AWS is a great starting point, with offerings ranging from Anthropic’s variants to Amazon’s own Titan series. Moreover, with Meta’s Llama 2 on the horizon, developers have a rich palette of models to select from, each tailored for specific use cases.

It truly feels like a unified experience with Amazon Bedrock.

Google only offers its own PaLM models as fully managed serverless API. They also offer open-source models with their Model Garden and easy deployment, but still, you need to deploy them and always have the models up and running. While Google is currently offering more…