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Introduction In today’s data-driven world, efficiently extracting relevant information from structured datasets is crucial. Consider a scenario where a Google Sheet contains details of 200 employees, including their names, ages, dates of joining, and experience. A user may ask: “What is the age of John Doe?” or “When did Sarah Smith join?” Our goal is […]

In today’s fast-paced web development world, choosing the right technology is critical for performance, scalability, and SEO. This document breaks down the trade-offs between building a traditional React app (using tools like Create React App) and using Next.js—a React framework with built-in optimizations. We will explore key factors such as scalability, reusability, performance, development time, […]

Introduction In the domain of artificial intelligence (AI) and machine learning (ML), image plays a key role in training models for recognizing object, pattern, and environment. For both processes, the core methodologies of image tagging and data annotation are associated with each other. What is Image Tagging? The process of labelling images with relevant keywords […]

Introduction Text summarization is one of the most essential tasks within the field of natural language processing. It is the capacity of AI models to condense a large amount of text without losing important information. This is relevant in the case of either news aggregation or research papers, and even simple content summarization. Such a […]

DeepSeek API for Text Summarization Table of Contents Introduction What is DeepSeek API? How Does DeepSeek Train Its Models? Why Use DeepSeek API? How to Use DeepSeek API for Text Summarization Effective Prompts for Text Summarization Addressing Common Challenges in AI Summarization Conclusion Introduction Text summarization serves as a crucial task in NLP, the aim […]