Notas del episodio
Ever wonder why your powerful AI fails at simple instructions? It's a battle between its training and your context. This article breaks down why complex fixes fall short and reveals a psychological prompt trick that yields huge gains, heralding a new era of AI interaction. 🤯
We'll talk about
- The Core Problem: Why large language models often ignore the context you provide them, defaulting to their pre-trained knowledge.
- The Complex Path: An analysis of advanced but limited methods like Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and Activation Steering.
- The Simple Solution: Unpacking the specific prompt reframing technique that led to a massive 200% performance increase.
- The Psychology Behind It: A br ...
Palabras clave
Prompt EngineeringAI ToolsLLMSoftware 3.0Supervised Fine-TuningDirect Preference Optimisation