SAP AI Core Model Deployment and Inference
The concept name provided is "undefined," and the supplied sources do not contain a definition or description of a specific, identifiable SAP developer concept that can be documented. Without a valid concept name or sufficient source content to ground a definition, a accurate and source-supported definition cannot be produced.
Tutorials that teach this
- Tutorial Implement a Simple Custom ABAP AI Scenario in Your SAP S/4HANA System
- Tutorial Using Custom models on SAP AI Core VIA ollama
- Tutorial Multimodal Response Assistant Chatbot Using SAP AI Core
- Tutorial Using Multimodal inputs with GPT4o for Image Recognition on SAP AI Core
- Tutorial Set up and use the Data Exploration Tools
- Tutorial Deploy a Movie Recommendation System to AI Core Using Template Generator
- Tutorial Prompt Optimization with Tool Calling and Response Formatting
- Tutorial Strategic Prediction with SAP RPT-1: A Comprehensive Guide
- Tutorial Make Predictions for House Prices with SAP AI Core
- Tutorial Use Pre-Trained Tensorflow Models with a GPU in SAP AI Core
- Tutorial Build a House Price Predictor with SAP AI Core using VS Code Toolkit
- Tutorial Using small language models on SAP AI Core
- Tutorial Consume the SDK for Data Attribute Recommendation using the AI API from SAP AI Core
- Tutorial Prompt LLMs in the generative AI hub in SAP AI Core & Launchpad
Docs explaining this concept
Code samples embodying this
Prerequisites
- 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 Docker Image Build and Publish The provided sources do not contain sufficient information to write a grounded definition for an **undefined** concept. The sources cover a range of SAP BTP topics (HANA connection issues, Kyma runtime, AI Core, Cloud Foundry) but do not define or describe a specific named concept that can be documented here.
- Concept Docker Image Build and Registry Management The provided sources do not contain enough information to define a specific SAP developer concept, as no concept name was supplied and the source snippets consist only of tutorial titles without substantive content. To generate an accurate, source-grounded definition, please provide a valid concept name and supporting source snippets that describe it.
- Concept SAP BTP Service Instance and Service Key Creation The concept provided is `undefined`, and the supplied sources do not contain sufficient content to ground a meaningful definition of any specific SAP developer concept. Without a valid concept name or substantive source snippets, a documentation-quality definition cannot be written accurately or responsibly.
- Concept BTP Service Entitlements Configuration The concept name is missing or undefined, so a precise definition cannot be provided. Based on the available sources, the provided snippets cover topics such as [SAP BTP trial account setup](https://help.sap.com/docs/btp/sap-business-technology-platform/fa5deb9cc4be4ca58070456cd2c47647?locale=en-US&state=PRODUCTION&version=Cloud), free service plans, the btp CLI, Kyma environment management, and [account administration via the SAP Cloud Management Service APIs](https://help.sap.com/docs/btp/sap-business-technology-platform/17b6a171552544a6804f12ea83112a3f?locale=en-US&state=PRODUCTION&version=Cloud), but no specific concept is identified for definition. Please provide a valid concept name to generate an accurate reference definition.
- Concept Machine Learning Model Training The provided sources do not contain enough information to write a grounded definition for an undefined concept. No concept name or supporting source content was supplied.
- Concept SAP AI Core ML Workflow Templates The provided sources do not contain enough information to write a grounded definition for an undefined concept. Please supply a valid concept name and relevant source snippets so that a precise, evidence-based definition can be produced.
- Concept SAP Cloud SDK for AI (AI Core Client) The concept name is not defined in the provided sources, and the available source snippets do not contain sufficient detail to construct a grounded, accurate definition. A reliable definition cannot be written without fabricating facts beyond what the sources support.
- Concept Predictive Modeling and Model Training The concept provided is **undefined** — no concept name was supplied for this entry. Please provide a valid SAP developer concept so that an accurate, source-grounded definition can be written.
- Concept Python Flask API Development The concept name was not provided (marked as "undefined"), and the supplied sources — covering topics such as chatbot webhooks, SAP Conversational AI OAuth API calls, and SAP AI Core predictions — do not contain enough shared or specific context to infer and define a single, clearly intended SAP developer concept. Please provide the concept name so an accurate, source-grounded definition can be written.
- 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 Cloud Object Storage Credentials and Secrets Management The concept provided is **undefined** — no concept name was supplied, and the available source snippets (covering Azure Data Bucket setup with AI Core and SAP HANA Database Explorer data export/import) do not contain sufficient shared context to infer a single, specific SAP developer concept to define. Please provide a valid concept name so an accurate, source-grounded definition can be written.
Concepts that build on this
- Concept Multimodal AI Chatbot Development
- Concept Multimodal AI Inference with GPT-4o
- Concept Foundation Model Inference Pipeline
- Concept LLM Prompt Engineering and Management
- Concept ISLM Intelligent Scenario Management
- Concept GPU-Enabled TensorFlow Deployment
- Concept Tabular Data Prediction with Pretrained Transformer Models
- Concept Vector Embeddings and Semantic Search
- Concept LLM orchestration across multiple models
- Concept Deploying Ollama on SAP AI Core
- Concept SAP AI Core Orchestration Service
- Concept Inference Observability in SAP AI Core