g-AI by kabs

Which of the following steps must be performed to deploy LLMs in the generative AI hub?. Provision SAP AI Core Check for foundation Model scenario Create a configuration Create a deployment. Run the booster Create service keys Select the executable ID. Check for foundation model scenario Create a deployment Configuring entitlements. Provision SAP AI Core Create a configuration Run the booster.

Which of the following is unique about SAP's approach to AI. SAP's deep integration of AI with business processes and analytics. Offering Al capabilities in their future products as of 2025. Utilizing Al mainly for marketing purposes. Focusing Al solely on customer support services.

What must be on defined in an executable to train a machine learning model using SAP Al Core?. Pipeline containers to be used. Infrastructure resources such as CPU or GPU. User scripts to manually execute pipeline steps. Deployment templates for SAP AI Launchpad.

Which of the following are functionalities provided by generative-AI-hub-SDK?. Interact with LLM. Create chat responses and embeddings. Configure SAP BTP credentials. Customeze SAP AI launchpad.

Which of the following is a benefit of using Retrieval Augmented Generation?. It allows LLMs to access and utilize information beyond their training data. It eliminates the nedd for fine tuning LLM for specific tasks. It reduces the computational resours required for language modeling. It enables LLM to learn new languages without additinal training.

What are some benefits of the SAP API Launchpad?. Centralized AI lifecycle management for all AI scenarios. Simplified model retraining and performance improvement. Intergraion with non-sap paltforms like Azure and AWS. Direct deployment of AI modeld to SAP HANA.

What is a significant risk associated with using LLMs. Potential biases in generated content. Complete elimination of human oversight in content creation. Inability to generate text in multiple languages. Unlimited processing power usage without cost control.

What are some drivers for the rapid adoption of generative AI?. Wide availability. Ease of use. Availability of skilled developers. Significant hardware cost savings.

How can few-shot that learning enhance LLM performance?. By offering input-output pairs that exemplify the desired behavior. ABy enhancing the model's computational efficiency. BBy providing a large training set to improve generalization. CBy reducing overfitting through regularization techniques.

What can be done once the training of a machine learning model has been completed in SAP AI Core?. The model can be deployed for inferencing. The model can be registered in the hyperscale abject store. The model accuracy can be optimized directly in SAP HANA. The model can be deployed in SAP HANA.

What are some components of the training pipeline in SAP AI Core?. Input datasets stored in hyperscale object store. Executables that define the training process. Automated deployment to Kubernetes cluster. The SAP HANA databse for model storage.

Which of the following are features of the SAP AI Foundation?. Ready-to-use AI services. AI runtimes and lifecycle managements. Open source AI model repository. Joule intergration in SAP SuccessFactors.

Why would a user include formatting instructions within a prompt?. To ensure the models response follows a desired structure of style. To force the model to seperate relevant and irrelreven output. To increase the faithfulness of the output. To redirect the output to another software program.