Category: Artificial Intelligence
What are the Advantages of Data Annotation
1. Introduction Machine learning models, especially those based on supervised learning, rely heavily on labeled datasets for training. These labels provide the ground truth that [more…]
Data Annotation Techniques: A Comprehensive Overview
Introduction The rise of machine learning, particularly deep learning, has established the critical role of labeled data. Data annotation, the process of adding informative tags [more…]
Revolutionizing Natural Language Processing with The Llama
Introduction The field of artificial intelligence has witnessed significant advancements in recent years, notably in the development of large language models (LLMs). Among these, the [more…]
Text Analysis: Deconstructing and Reconstructing Meaning
Introduction Natural Language Processing (NLP) is a subfield of computer science, artificial intelligence, information engineering, and human-computer interaction. This field focuses on how to program [more…]
The Steps that Help Computer to Understand Human Language
Natural language processing uses Language Processing Pipelines to read, pipelines Pipeline apply the human decipher and understand human languages. These pipelines consist of six [more…]
Natural Language Processing Phases
Natural Language Processing (NLP) is the field of artificial intelligence that focuses on the interaction between computers and human language. It involves a series of [more…]
What is Data Analysis?
Data is Everywhere, in sheets, in social media platforms, in product reviews and feedback, everywhere. In this latest information age it’s created at blinding speeds [more…]
Transformer-based Language Models
Introduction Natural language processing has evolved significantly over the past few decades, transitioning from rule-based approaches to more sophisticated machine learning techniques. Among the most [more…]