Generative AI

Key advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models…

However, despite their impressive human-like intelligence, they are far from infallible, often producing incorrect, misleading, or even harmful outputs. This necessitates human oversight to ensure their safety and reliability. This article explores the role of data labeling for LLMs and how it bridges the gap between the potential of Gen AI models and their reliability…