LLM-Grundlagen
Basis-Begriffe rund um Large Language Models.
LLM Hallucinations — Causes and Remedies Tokens and Tokenization in LLMs Explained Embeddings Simply Explained The Context Window of LLMs — What Fits and What Doesn't Temperature, Top-p and Sampling in LLMs
Reasoning Effort Sampling (LLM) Thinking Budget Automatic Speech Recognition (ASR) Path Dependency (LLM Output) Whisper Audio normalization Context window dBFS, Headroom & Clipping Embedding Hallucination Inference KV Cache LLM RAG Stop Sequences Temperature Token Tokenizer Top-p / Top-k Model Card Safetensors