Prompt Engineering
The concept name was not provided, so a precise definition cannot be written. Please supply the concept name so it can be accurately defined based on the available sources covering topics such as prompting LLMs in the generative AI hub in SAP AI Core and using multimodal inputs with GPT-4o for image recognition on SAP AI Core.
Tutorials that teach this
Learning journeys covering this
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Prerequisites
- Concept Large Language Models (LLMs) The concept provided is **undefined**, and the supplied sources do not describe a specific, identifiable SAP developer concept by that name. Based on the available snippets — which cover topics such as [Retrieval Augmented Generation (RAG)](https://architecture.learning.sap.com/docs/ref-arch/RA0005/3-retrieval-augmented-generation/readme), prompting LLMs in the generative AI hub, and using custom or small language models on SAP AI Core — no definition can be responsibly constructed for an unnamed or undefined concept. Please provide a valid concept name so that an accurate, source-grounded definition can be written.
- Concept Generative AI Hub setup and onboarding The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
- Concept SAP Generative AI Hub The concept name was not provided, so a best-effort definition is derived from the available sources covering SAP's AI development landscape. [SAP's AI Golden Path](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/readme) is a curated starting point for developing AI applications across the SAP ecosystem, offering recommendations and guidance for building and delivering AI-powered solutions. Developers use it to navigate capabilities such as [Generative AI application integration, embeddings and semantic search](https://architecture.learning.sap.com/docs/ref-arch/RA0005/2-semantic-search/readme), predictive and tabular AI, and document processing. It encompasses patterns for leveraging Foundation Models and Large Language Models (LLMs) through prompting, as well as frameworks like Intelligent Scenario Lifecycle Management (ISLM) for standardized AI lifecycle management.
Concepts that build on this
- Concept BFCL Tool Calling Dataset Normalization and Prompt Optimization
- Concept Prompt Optimization Across Models
- Concept Generative AI Custom Evaluation in SAP AI Core
- Concept Generative AI for Document Processing
- Concept JSON Schema Response Formatting for Structured LLM Output
- Concept Devtoberfest Data & AI Sessions Overview