AI

Chain of Thought Prompting (CoT) Chain-of-thought (CoT) prompting is a powerful technique to enhance the reasoning capabilities of large language models. It is a method for guiding LLMs through a sequence of connected ideas or thoughts. It aims to stimulate creativity, critical thinking, and problem-solving skills. CoT Prompting Chain-of-Thought prompting ( CoT ) technique allows […]

Zero-Shot Prompting In this tutorial, we will learn about the Zero-shot prompting technique. In this technique, we provide the model with a prompt that is not included in the training set. This technique allows the model to predict the desired outcome without examples. Zero-shot prompting involves providing a prompt to a language model without any […]

Few-Shot Prompting Few-shot prompting is a technique that involves providing a model with a small number of examples or prompts to perform a specific task or generate output. This technique is used in NLP (Natural Language Processing) in the context of few-shot learning. LLMs like GPT-3 (Generative Pre-trained Transformer 3) have demonstrated impressive few-shot learning capabilities. […]