SAP AI Launchpad Usage
The concept name is missing or undefined, and the provided sources do not contain enough specific, attributable information to write a grounded definition for an unnamed concept. Please provide a valid concept name so a precise, source-backed definition can be written.
Tutorials that teach this
- Tutorial Prompt optimization
- Tutorial Ingest Live Data into your House Price Predictor with SAP AI Core
- Tutorial Generate Metrics and Compare Models in SAP AI Core
- Tutorial Prompt LLMs in the generative AI hub in SAP AI Core & Launchpad
- Tutorial Using small language models on SAP AI Core
- Tutorial Orchestration(V2) with Grounding Capabilities in SAP AI Core
- Tutorial Consumption of GenAI models Using Orchestration - A Beginner's Guide
- Tutorial Custom Evaluation for Generative AI – Comprehensive Guide
- Tutorial Setup Generative AI Hub in SAP AI Launchpad
- Tutorial Set Up Tools to Connect With and Operate SAP AI Core
- Tutorial Leveraging Prompt Registry for Seamless Orchestration
- Tutorial Consumption of GenAI models Using Orchestration(V2) service - A Beginner's Guide
- Tutorial Make Predictions for House Prices with SAP AI Core
- Tutorial Orchestration with Grounding Capabilities in SAP AI Core
- Tutorial Quick Start for Your First AI Project Using SAP AI Core
- Tutorial Set Up the Metaflow Library for SAP AI Core
- Tutorial Strategic Prediction with SAP RPT-1: A Comprehensive Guide
- Tutorial Set Up SAP BTP and Integrate SAP AI Core with ISLM
- Tutorial Generative AI Custom Evaluation - Quickstart
- Tutorial Setup Generative AI Hub Basic Trial
- Tutorial Build a House Price Predictor with SAP AI Core
- Tutorial Using Custom models on SAP AI Core VIA ollama
- Tutorial Setup Azure Data Bucket with AI Core
- Tutorial Use Boosters for Free Tier Use of SAP AI Core and SAP AI Launchpad
Discovery missions teaching this
Prerequisites
- Concept SAP AI Core Service Setup The concept name was not provided, so a precise definition cannot be constructed from the available sources. Based on the sources, these materials collectively cover building and integrating [Generative AI applications](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/2-build-and-deliver/3-genai-applications/readme) on SAP Business Technology Platform using SAP AI Core — a managed service that developers use to train models, run AI workloads, and connect to large language models via orchestration. Developers leverage it alongside [SAP BTP service instances and keys](https://help.sap.com/docs/btp/sap-business-technology-platform/5b35ee98403045309bb0f8c7f0c79365?locale=en-US&state=PRODUCTION&version=Cloud) to authenticate and consume AI capabilities such as prompt optimization, grounding, multimodal responses, and custom evaluation within their applications.
- 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 BTP booster automation The provided sources do not contain enough information to write a grounded definition for an **undefined** concept. The source snippets cover topics such as setting up Cloud Foundry subaccounts, the ABAP Environment, SAP Business Application Studio subscriptions, and SAP BTP boosters, but no specific concept is identified or described in sufficient detail to produce a reliable, source-grounded definition. Please provide a valid concept name and relevant source snippets so an accurate 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 Generative AI Custom Evaluation in SAP AI Core
- Concept SAP AI Core Metrics Logging
- Concept Tabular Data Prediction with Pretrained Transformer Models
- Concept SAP AI Core Object Store Secret Configuration
- Concept ISLM Intelligent Scenario Management
- Concept Intelligent Scenario for Generative AI
- Concept LLM orchestration across multiple models
- Concept Multimodal AI Inference with GPT-4o
- Concept Using the SAP AI Launchpad playground
- Concept Prompt Registry Management in SAP Generative AI Hub
- Concept Job Execution Log Retrieval
- Concept Deploying Ollama on SAP AI Core