A step-by-step tutorial on calling SAP GenAI Hub's large language models from self-hosted n8n to build enterprise AI automation workflows.SAP Build is the primary, recommended solution for enterprise automation and orchestration within the SAP ecosys...
Large language models (LLMs) for code generation and understanding can be boosted by training on search-like reasoning traces and by self-correction mechanisms. Recent work has framed code tasks as iterative decision processes, using fine-tuning or r...
Struggling to keep your LLM-based GenAI solutions running smoothly under heavy workloads? In this blog, discover how SAP Cloud Logging Service can provide end-to-end visibility—turning logs and traces into actionable insights for faster troubleshooti...
IntroductionHave you ever stared at your analytics dashboard, wishing it could do more—like answer your questions without having to solely search, filter, and drill into your data? Well, guess what – you can do that now!In this blog, I’ll walk you th...
The text discusses the importance of AI agents and structured outputs in enterprise applications, particularly in the context of SAP systems. Here's a summary of the key points:## AI Agents and Tool Calling- AI agents are more effective than traditio...
Meta released Llama 3.1 405B model a few days ago, and well I have some exciting news if you think "why should I care", I will tell you 3 reasons why you should consider it.The first Open Source LLM to know ABAPThe first Open Source LLM to know the S...
Unleash Open-Source Text Embeddings in SAP AI Core with InfinityThis blog post dives into using open-source Text Embedding Models within SAP AI Core. It explores the "Bring Your Own Model" (BYOM) approach, focusing on Infinity – a high-performance se...
In this blog post, we'll have an end-to-end technical deep dive into the option of bringing open-source LLMs into SAP AI Core through a Custom Inference Server with Hugging Face Transformers Library.Enhancing the use case Citizen Reporting with visio...
If your goal is to build an AI Agent that connects and interacts with SAP applications, the SAP Business Technology Platform (SAP BTP) is an excellent choice for several reasons:Integration with SAP Applications, like SAP S/4HANA, SAP SuccessFactors,...
In this blog post, we'll have an end-to-end technical deep dive into the first option of bringing open-source LLMs within SAP AI Core through Ollama.A quick glance at OllamaDeploy and Run Ollama in SAP AI CoreInference Microsoft's open-source model P...
Discover how we leveraged Generative AI to elevate your experience at Sapphire 2024! Dive into the behind-the-scenes story of our innovative tool designed to help Account Executives recommend sessions tailored to your organization's unique journey. L...
Unleash the power of AI and augment your applications with Retrieval-Augmented Generation. Dive into the world of large language models with this simple guide on building Python RAG applications using LangChain, HANA Vector DB, and the Generative AI ...
Retrieval-Augmented Generation (RAG) techniques significantly improve the contextual relevance of large language model (LLM) outputs by incorporating real-time database lookups. SAP HANA Cloud vector engine plays a key role here, enabling efficient r...
In this blog post series, we will explore various options for running popular open-source Large Language Models to like LLaMa 3, Phi3, Mistral, Mixtral, LlaVA, Gemma etc., in SAP AI Core, which complements SAP Generative AI Hub with self-hostsed open...
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sap_sabarna
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What Do You Do While Claude Code Thinks? I Built a...
merbinjanselm
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Building AI Agents and Agentic Workflows with Huma...
DEEPA_DORAIRAJ
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SAP Agentic AI in Practice: Building the SAP Migra...
DEEPA_DORAIRAJ
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SAP Agentic AI in Practice: Concepts, Architecture...
Thakur_Avinash
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Extracting Structured Knowledge from Document (Sal...
