Large Language Models (LLMs)

A large language model, or LLM, is a type of generative AI that has been trained on a massive amount of data, which allows it to “understand” and generate human-like responses based on a set of provided instructions or prompts.

Supported LLMs

The Hopkins AI Lab provides access to a number of LLMs. Each model specializes in certain tasks and behaves slightly differently from the others. We encourage you to experiment with each mode to learn its strengths.

Azure OpenAI

Access to OpenAI models is made possible through partner agreement with Microsoft and uses an Azure specific version of the model. For this reason, you may notice subtle differences in results generated within the Hopkins AI Lab compared to those generated through commercially available OpenAI channels.

Anthropic

Access to Anthropic models is made possible through partner agreement with Amazon Web Services (AWS) and uses an AWS specific version of the model. For this reason, you may notice subtle differences in results generated within the Hopkins AI Lab compared to those generated through commercially available Anthropic channels.

Meta

Access to Meta models is made possible through partner agreement with Amazon Web Services (AWS) and uses an AWS specific version of the model. For this reason, you may notice subtle differences in results generated within the Hopkins AI Lab compared to those generated through commercially available Meta channels.