As businesses increasingly look to embrace artificial intelligence (AI), ML ops engineers will play a crucial role in setting up the necessary infrastructure to support these technologies. One key component of this infrastructure is large language models (LLMs), which allow application developers to integrate natural language capabilities quickly and easily into their software. In this blog post, we’ll explore the benefits of using the content package for large language models for SAP AI Core and provide instructions for setting it up.

What Is the Content Package for LLMs?

A content package is a set of predefined code used to generate Docker images and templates. By using the content package for LLM, you can save time setting up the Docker images and templates necessary to integrate natural language capabilities into your software. The content package integrates SAP AI Core with the large language models provided by Azure OpenAI, providing you with a powerful tool for building language-based applications.

How Can You Set Up the Content Package?

To set up the content package for LLM, follow the instructions at sap-ai-core-llm.

The example in the documentation uses the text-davinci-003 language model, but you have a choice of models to use. Once you’ve completed the setup, you’ll be ready to use and incorporate future tools without having to set them up one-by-one.

What Are the Benefits of Using the Content Package?

Using the content package for LLM provides a number of benefits. First and foremost, it allows you to quickly integrate language capabilities into your SAP BTP applications. After completing the setup, you will have much of the LLM functionality at your fingertips via the SAP AI Core service of SAP BTP. This means, for example, that you can generate text using prompts as described at How to generate text with Azure OpenAI Service.

Real-life use cases are planned for the content package upgrades in the future, such as question answering with your own embeddings. Adding your own embeddings will let you use your own data with the language model, providing personalization and even more powerful capabilities.

Consuming AI services through Cloud Application Platform and SAP Business Technology Platform using the SAP AI Core service requires minimal effort on your part. This means that the underlying infrastructure is taken care of and you can focus on building great applications!

Conclusion

As businesses look to embrace AI, ML ops will play a crucial role in setting up the necessary infrastructure to support these technologies. The content package for large language models provides a powerful tool for you to integrate natural language capabilities quickly and easily into your software. By following the instructions at sap-ai-core-llm, you can set up the content package for LLM so that you are ready to use and incorporate future tools. With the SAP AI Core service of SAP BTP, you will have LLM functionality at your fingertips, allowing you to focus on building great applications.