AI hallucinations are not a bug that will be fixed in the next model update. They are a structural consequence of how large language models work. This post explains what hallucination actually is, why it happens at a technical level, the different types, and what practical steps reduce it — without the hype or the panic.
SAP Screen Personas lets you simplify, adapt, and personalise classic SAP GUI transactions without touching the underlying code. Here is how it works and when to use it.
AI benchmarks can't be trusted to choose a model. Discover why MMLU, SWE-bench and others fail in production — and what to measure instead.
RAG pipelines fail at chunking, retrieval, and context assembly — not the LLM. This post covers every key decision in a RAG pipeline and what to choose.
GROW and RISE with SAP both lead to S/4HANA in the cloud — but they serve completely different starting points. Here is how to tell which one fits your organisation.
SAP Signavio tells you what your processes actually do — not what you think they do. Covers process mining, the Signavio suite and where it fits in SAP.
Anthropic released MCP in November 2024. By March 2026 it had 97 million monthly SDK downloads and support from every major AI vendor. This post explains what MCP is, the problem it solves, how it works architecturally, and why it matters for anyone building or integrating AI systems — including in the SAP world.
Temperature, top-p and top-k decide how an LLM picks every word it generates. This post explains what each setting does, how they interact, and what to set for your task.
Kafka and RabbitMQ solve different problems. This post breaks down the log vs queue mental model, shows when each tool wins, and gives you an opinionated decision guide.
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