Difference between revisions of "IT-AI-Base"
Jump to navigation
Jump to search
Samerhijazi (talk | contribs) (→init) |
Samerhijazi (talk | contribs) (→Buzz Words) |
||
| Line 18: | Line 18: | ||
* Any tool that can send webhooks can trigger an automated investigation. | * Any tool that can send webhooks can trigger an automated investigation. | ||
* How is Aurora different from Rootly or incident.io? | * How is Aurora different from Rootly or incident.io? | ||
| + | =ML-Frameworks= | ||
| + | * TensorFlow, PyTorch oder scikit-learn | ||
| + | |||
=LLM= | =LLM= | ||
* A Large Language Model (LLM) is an AI system trained on huge amounts of text to understand and generate human-like language. | * A Large Language Model (LLM) is an AI system trained on huge amounts of text to understand and generate human-like language. | ||
Latest revision as of 13:57, 10 April 2026
Contents
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?
ML-Frameworks
- TensorFlow, PyTorch oder scikit-learn
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.
