IT-AI-Base

init

• OpenClaw (https://openclaw.ai/)
• Ollama (https://ollama.com/)
• Llama (https://www.llama.com/)
• MiniMax (https://www.minimax.io/)
• Gemma 4 (https://deepmind.google/models/gemma/gemma-4/)
• Aurora (https://www.arvoai.ca/)
• incident.io

Buzz Words

• LLM (Large Language Model)
• LLMOps
• Generative KI
• RAG-Anwendungen
• GenAI und Agentic AI Tools (z. B. LlamaIndex, LangChain/LangGraph).
• LangGraph-orchestrated LLM agents to autonomously investigate cloud incidents
• PagerDuty, Datadog, Grafana, Netdata, Dynatrace, Coroot, ThousandEyes, BigPanda
• Any tool that can send webhooks can trigger an automated investigation.
• How is Aurora different from Rootly or incident.io?

LLM

• A Large Language Model (LLM) is an AI system trained on huge amounts of text to understand and generate human-like language.
• An LLM is a program that predicts the next word in a sentence, based on everything it has learned from massive datasets.
• LLM = very advanced autocomplete trained on the internet

What LLMs can do

• Answer questions
• Write emails, essays, code
• Translate languages
• Summarize documents
• Chat like a human

What LLMs can't do

• LLMs don’t “think” like humans.
• Don’t truly understand meaning
• Don’t have opinions
• Just predict the most likely next words based on patterns

Examples of LLMs

• GPT-4 → chatgpt.com
• LLaMA (https://www.llama.com/) from Meta
• Mistral
• Gemma
• Claude → Claude.ai
• Gemini → https://gemini.google.com/app

Regulatory Requirements

• Regulatory requirements (MaRisk, BAIT, DORA)
• BAIT, DORA oder ISO 27001.