Transfer Learning in NLP
What is Transfer Learning? Transfer learning, a cornerstone in the realm of Natural Language Processing (NLP), transforms the way we approach language models. It’s akin to giving a new employee a comprehensive manual about your company’s operations, significantly shortening their learning curve. In NLP, this “manual” comes in the form of pre-trained language models which […]
AI and Society
How does AI affect the society? Artificial intelligence (AI) has woven its threads through the fabric of society, subtly altering the canvas upon which our lives are painted. Its influence extends far beyond mere technological advancement, shaping the very structure of our job market, societal norms, and ethical responsibilities. Impact of AI on employment The […]
Interpretability and Explainability
In the realm of artificial intelligence (AI), two terms frequently surface, often used interchangeably yet distinct in their nuances: interpretability and explainability. These concepts serve as the bridge connecting human comprehension and machine decision-making, ensuring that AI’s logic isn’t locked away in an impenetrable black box. What is Interpretability? Imagine you’re a detective, and each […]
Model Deployment
Deploying AI Models in Production Deploying an AI model into production is the process of transitioning the model from a development or testing phase to a live environment where it can start providing value by making predictions or decisions based on new data. This step is crucial for realizing the practical benefits of the model’s […]
Introduction to Reinforcement Learning
The Genesis of Learning from Interaction In the vast and intricate world of artificial intelligence, the concept of learning through interaction stands as a cornerstone, paving the way for systems that not only understand but adapt. This foundational premise is what we explore under the umbrella of reinforcement learning (RL). At its core, RL is […]
Named Entity Recognition (NER)
Named Entity Recognition in NLP In the realm of Natural Language Processing (NLP), one of the most intriguing tasks is extracting structured information from unstructured text. This process, known as Named Entity Recognition (NER), is akin to a treasure hunt within the vast sea of words, where the treasures are specific pieces of information categorized […]
Ethical Considerations in Deep Learning
Discovering Ethical Deep Learning Hey there! Ready to explore the fascinating world of deep learning and ethics? Awesome! So, deep learning is this amazing technology that can do all sorts of cool things, like recognizing faces, understanding languages, and even driving cars. But here’s the catch: sometimes, it can unintentionally treat people unfairly. Not cool, […]
Recurrent Neural Networks (RNNs)
What are Recurrent Neural Networks ? In the world of artificial intelligence, understanding and predicting sequences of data is really important. And there’s this amazing thing called Recurrent Neural Networks (RNNs) that’s really good at it. RNNs are different from other types of neural networks like Convolutional Neural Networks (CNNs), which are great at understanding […]
Introduction to Neural Networks
What is Neural Networks ? Imagine the human brain, a complex, powerful machine capable of incredible computations and decision-making processes. This is where the journey of neural networks begins. At the core, neural networks are inspired by the biological neural networks that constitute animal brains. They are algorithms designed to recognize patterns, interpret sensory data, […]
Evaluation and Model Selection
Are you ready to embark on the exciting journey of model selection? Before you dive in, it’s essential to understand the tools that will guide you through this process. Performance metrics are like your trusty compass and map, helping you navigate the vast landscape of machine learning models. What is Performance Metrics in Evaluation and […]