Chain-of-Thought (CoT) is a reasoning technique used in large language models (LLMs) to improve their ability to handle complex tasks. Instead of providing a direct answer, the model generates intermediate steps or explanations that lead to the final output. This...

BLEU is a widely used evaluation metric in natural language processing (NLP) for assessing the quality of machine-generated text, particularly in tasks like machine translation. It measures how closely the generated text matches one or more reference texts by analyzing...

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...