Launchpad Introduction

Using SAP AI Launchpad

SAP AI Launchpad can be used by both AI scenario producers and AI scenario consumers. AI scenario producers, such as AI operations engineers or AI engineers, are responsible for developing and productizing AI scenarios. AI scenario consumers, such as business analysts, subscribe to a service that offers an AI scenario and consume it. The generative AI hub within SAP AI Launchpad can be used to interact with generative AI models.

What is SAP AI Launchpad?

SAP AI Launchpad is a multi-tenant software as a service (SaaS) application on the SAP Business Technology Platform (SAP BTP). Customers and partners can use SAP AI Launchpad to manage AI use cases (scenarios) across multiple instances of AI run-times (such as SAP AI Core). SAP AI Launchpad also provides generative AI capabilities via the Generative AI Hub.

Distinctions between Chat and Prompt Editor in SAP AI Launchpad

Context and Coherence:

• Chat design excels at maintaining the background and flow of a conversation, ensuring smooth and connected interactions.
• Prompt engineering, while adept at generating specific outputs, can sometimes miss the conversational setting, leading to disjointed responses.

Versatility and Adjustability:

• Prompt engineering offers greater versatility in shaping AI responses, allowing modifications to prompts for varied results.
• Chat design often requires more substantial revisions to adjust to new user needs.

Human Feedback:

• Chat design heavily relies on human feedback for ongoing improvement.
• Prompt engineering, once set up, is less dependent on human intervention for refinement.

Task-Specific vs. Dynamic Interaction:

• Prompt engineering is ideal for task-specific scenarios demanding precise outputs.
• Chat design is better suited for open-ended, dynamic conversations that emphasize user engagement.

Choosing between these two, depends on the specific AI use case and the intended level of user engagement and control. Projects aiming to craft engaging and realistic interactions may favor Conversation Design, whereas those that emphasize producing precise and controlled outputs might prefer Prompt Engineering.

The next unit shows how to interact, find, manage and organize all your prompts in Generative AI Hub via the Launchpad.