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Clustering Algorithms in Machine Learning

Machine learning problems involve handling vast amounts of data and rely significantly on the algorithms employed for model training. The choice of algorithms depends on the specific problem being addressed. Two major approaches Clustering Algorithms in machine learning are supervised and unsupervised learning. Among these, clustering, a form of unsupervised learning, plays a crucial role…

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Building a Customer Service Chatbot with ChatGPT: A Step-by-Step Guide

Introduction Chatbots have become an integral part of modern customer service, providing efficient and immediate support to users. With the advent of AI and natural language processing (NLP) models like ChatGPT, creating a sophisticated customer service chatbot has never been easier. In this article, we will explore why ChatGPT is an excellent choice for chatbot…

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Chatbase Advancements in AI Chatbots and Their Ongoing Innovation for Businesses

In the realm of conversational technology, Chatbase stands out as a trailblazer, revolutionizing the way businesses engage with their customers. Through its cutting-edge features, seamless integrations, and unwavering commitment to user satisfaction, Chatbase is paving the way for a future where interactions are not just transactions but meaningful experiences. This innovative AI platform empowers businesses…

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A Brief Comparison between Zero Shot Prompting and Few Shot Prompting

In the dynamic landscape of artificial intelligence, researchers are constantly exploring innovative techniques to enhance the capabilities of language models. Zero Shot & few Shot Prompting are two such groundbreaking approaches that have revolutionized the field. These methods empower AI models to comprehend and generate human-like text with minimal training, leading to a myriad of…

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A Gentle Introduction to Hallucinations in Large Language Models

What are Hallucinations in Large Language Models Large Language Models (LLMs) are advanced machine learning models designed to generate text based on provided prompts. Trained with specific data, these models possess knowledge, although the extent to which they retain this information remains uncertain. When LLMs generate text, they lack the ability to discern the accuracy…

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