BERTScore is an evaluation metric for natural language processing (NLP) tasks that measures the similarity between a model-generated text and a reference text. Unlike traditional metrics like BLEU or ROUGE, which rely on exact word matches, BERTScore uses contextual embeddings...

A benchmark dataset is a standardized collection of data used to evaluate and compare the performance of AI models, algorithms, or systems. These datasets are carefully curated to represent specific tasks or challenges, serving as a common reference point for...

Beam Search is a smart search algorithm used in AI to generate sequences, like translations or text summaries. Instead of exploring every possible outcome, it focuses only on the most promising options (called beams) at each step, striking a balance...

Agentic AI refers to advanced systems that autonomously manage tasks, adapt to new situations, and achieve predefined goals without human intervention. These systems are built to go beyond reactive behavior, offering proactive and adaptable solutions that mimic human-like decision-making. Key...