🎛️ Controlling LLM Behavior: Prompt Engineering, Temperature & Tokenization Explained
Dive into the mechanics of prompt engineering and learn how to shape LLM behavior using temperature, top K settings, and tokenization.
This session explores deterministic vs. probabilistic outputs, model personality, and how server configurations influence AI responses.
🔬 Unlock the full experience by activating the video to your left—see how tuning transforms behavior.
