GPT-4 Turbo is an enhanced iteration of OpenAI’s powerful generative AI system, engineered for greater speed and efficiency. This article will explore what GPT-4 Turbo…| What Is GPT-4 Turbo? | AI Model Explained | Grammarly
As generative AI tools like ChatGPT and Claude become more powerful and widely used, the ability to interact with them effectively has…| Prompt Engineering: Building Effective AI Interactions
Microsoft Copilot is a recent addition to Microsoft 365 applications, enhancing them with AI features. This guide will explain what Microsoft Copilot is, how it…| What Is Microsoft Copilot? AI Writing Assistant Explained | Grammarly
When you think about generative AI models, you probably think about the large language models (LLMs) that have made such a splash in recent…| Generative AI Models Explained: Insights and Uses | Grammarly
Backpropagation is reshaping how neural networks optimize learning and reduce errors. Instead of relying on trial and error, this algorithm provides a structured approach…| Understanding Backpropagation in Neural Networks
This post is by Grammarly research scientists Dimitris Alikaniotis and Vipul Raheja.| Under the Hood at Grammarly: Leveraging Transformer Language Models for Gramm...
In this article, we will delve into the world of deep learning, exploring its inner workings, types, applications, and the challenges it faces. We will…| What Is Deep Learning? An In-Depth Overview | Grammarly
In the realm of machine learning, semi-supervised learning emerges as a clever hybrid approach, bridging the gap between supervised and unsupervised methods by leveraging both…| What Is Semi-Supervised Learning? A Comprehensive Guide | Grammarly
Self-supervised learning, a cutting-edge technique in artificial intelligence, empowers machines to discover intrinsic patterns and structures within data, mimicking the human ability to learn from…| What Is Self-Supervised Learning? AI Training Method | Grammarly
In the fascinating world of AI, reinforcement learning stands out as a powerful technique that enables machines to learn optimal behaviors through trial and error,…| What Is Reinforcement Learning? A Comprehensive Guide | Grammarly
Regression in machine learning (ML) is a fundamental concept used to predict continuous values based on input features. Whether estimating housing prices or forecasting…| Regression in Machine Learning: What It Is and How It Works | Grammarly
The F1 score is a powerful metric for evaluating machine learning (ML) models designed to perform binary or multiclass classification. This article will explain…| How to Use F1 Score in Machine Learning
Clustering is a powerful tool in data analysis and machine learning (ML), offering a way to uncover patterns and insights in raw data. This…| Clustering in ML: Understanding Unsupervised Data Grouping Techniques
Despite all the recent hype, artificial intelligence (AI) is nothing new. In fact, it predates the World Wide Web by decades. While the sudden and…| What Is AI? Artificial Intelligence Explained | Grammarly
Linear regression is a foundational technique in data analysis and machine learning (ML). This guide will help you understand linear regression, how it is…| What Is Linear Regression in Machine Learning? | Grammarly
Unravel the mysteries of unsupervised learning, a revolutionary technique that enables machines to become autonomous data analysts, extracting valuable insights without human intervention. Table of…| What Is Unsupervised Learning? Key Concepts | Grammarly
Natural language processing (NLP) is transforming the way humans and machines interact, bridging the gap between unstructured human language and structured computational understanding. From virtual…| Natural Language Processing: Everything You Should Know
Autoencoders are an essential component of deep learning, particularly in unsupervised machine learning tasks. In this article, we’ll explore how autoencoders function, their…| What Is an Autoencoder in Deep Learning?
Convolutional neural networks (CNNs) are a fundamental architecture in data analysis, machine learning (ML). and deep learning. This guide explains how CNNs work, how…| What Is a Convolutional Neural Network? | Grammarly
Key takeaways: Syntax refers to the particular order in which words and phrases are arranged in a sentence. Small changes in word order can…| What Is Syntax? Definition, Rules, and Examples | Grammarly
Ah, the comma. Of all the punctuation marks in English, this one is perhaps the most misused. And it’s no wonder. There are lots…| Rules for Using Commas, With Examples | Grammarly
In recent years, rapid developments in AI have made it possible for anyone with a basic background in computer science to download…| Doing Data Right: Building a Successful Dataset From the Ground Up | Grammarly
As Google’s answer to ChatGPT, Gemini has the potential to transform how you search the internet and interact with Google services and apps. Discover…| What Is Google Gemini? An In-depth Overview
New generative AI tools can help people become more productive and creative. Need to write a speech, build a website, or create illustrations? There’s a…| Understanding Generative AI Tools and Platforms | Grammarly
Sentence structure is how all the parts of a sentence fit together. If you want to make more advanced and interesting sentences, you…| Sentence Structure: Definition and Examples | Grammarly Blog
An adverb is a word that modifies or describes a verb (“he sings loudly”), an adjective (“very tall”), another adverb (“ended too quickly”), or even…| What Is an Adverb? Definition and Examples | Grammarly
Tokenization is a critical yet often overlooked component of natural language processing (NLP). In this guide, we’ll explain tokenization, its use cases, pros and…| What Is Tokenization in NLP?
OpenAI’s applications have shaken up established tech giants like Google and inspired the creation of other AI research firms, like Anthropic. As generative AI platforms…| What Is OpenAI: An Overview of the AI Pioneer | Grammarly
GPT-4o is the latest advancement from OpenAI, bringing the most updated multimodal AI capabilities to platforms like ChatGPT. This guide will explain what…| GPT-4o 101: What It Is and How It Works | Grammarly
GPT-4 is transforming the way we approach AI-powered tasks, offering capabilities that span content creation, data analysis, and more. This guide explores how GPT-4 works,…| What Is GPT-4? A Comprehensive Guide to GPT-4 | Grammarly
Since its introduction in 2020, GPT-3 has shown the world the potential of generative AI. It was the second of OpenAI’s GPT models…| What Is GPT-3? | Insight into OpenAI's AI Marvel | Grammarly
DALL-E is one of the innovative generative AI platforms blurring the lines between human- and computer-generated creativity. Here’s an overview of DALL-E, how to…| What’s DALL-E? Exploring AI’s Artistic Image Generator | Grammarly
Since its launch in late 2022, ChatGPT has become a household name. This comprehensive guide will teach you everything you need to know…| What Is ChatGPT? Understanding ChatGPT's Capabilities | Grammarly
Transformers are a breakthrough in AI, especially in natural language processing (NLP). Renowned for their performance and scalability, they are vital in applications…| What Is a Transformer Model? | Grammarly
Recurrent neural networks (RNNs) are a foundational architecture in data analysis, machine learning (ML), and deep learning. This article explores the structure and…| Recurrent Neural Network Basics: What You Need to Know | Grammarly
In the rapidly changing field of artificial intelligence (AI), large language models (LLMs) have quickly become a foundational technology. In this article, you’ll learn…| What Are Large Language Models? AI’s Linguistic Giants | Grammarly
Generative AI tools can make us more productive and more creative. They can help us develop new ideas, access information with ease, and streamline…| How to Create Effective AI Prompts (With Examples) | Grammarly
Underfitting is a common issue encountered during the development of machine learning (ML) models. It occurs when a model is unable to effectively learn…| What Is Underfitting in Machine Learning? | Grammarly
From image recognition to spam filtering, discover how supervised learning powers many of the AI applications we encounter daily in this informative guide. Table of…| What Is Supervised Learning? A Comprehensive Guide | Grammarly
Overfitting is a common problem that comes up when training machine learning (ML) models. It can negatively impact a model’s ability to generalize beyond…| What Is Overfitting in Machine Learning? | Grammarly
Logistic regression is a cornerstone method in statistical analysis and machine learning (ML). This comprehensive guide will explain the basics of logistic regression and…| What Is Logistic Regression in ML?
Dimensionality reduction simplifies complex datasets by reducing the number of features while attempting to preserve the essential characteristics, helping machine learning practitioners avoid the “curse…| What Is Dimensionality Reduction in Machine Learning? | Grammarly
What are AI hallucinations? AI hallucinations occur when AI tools generate incorrect information while appearing confident. These errors can vary from minor inaccuracies, such…| AI Hallucinations: What They Are and Why They Happen | Grammarly
Want to know where all the action is? Verbs! Verbs are words that represent actions that are external (run,…| Verbs: What Are They and How Do You Use Them? | Grammarly Blog
Adverbs of place describe where an action happens. Common examples include here, there, everywhere, nowhere, outside, and upstairs. They are typically placed between the subject…| What Are Adverbs of Place? | Grammarly
A strong email starts with a warm and compelling greeting, followed by an attention-grabbing opening. Using an effective email introduction can captivate the reader…| How to Start an Email With a Strong Introduction | Grammarly
Machine learning (ML) has quickly become one of the most important technologies of our time. It underlies products like ChatGPT, Netflix recommendations, self-driving cars,…| What Is ML? Machine Learning Explained | Grammarly
Decision trees are one of the most common tools in a data analyst’s machine learning toolkit. In this guide, you’ll learn what decision trees are,…| What Is a Decision Tree in Machine Learning?
Classification is a core concept in data analysis and machine learning (ML). This guide explores what classification is and how it works, explains the…| What is Classification in Machine Learning? | Grammarly
In this article, we will delve into the world of neural networks, exploring their inner workings, types, applications, and the challenges they face. Table of…| What Is a Neural Network? An AI Overview | Grammarly
Artificial intelligence (AI) is everywhere. Excitement, fear, and speculation about its future dominate headlines, and many of us already use AI for personal and…| What Is Generative AI? An In-Depth Overview | Grammarly
Random forests are a powerful and versatile technique in machine learning (ML). This guide will help you understand random forests, how they work and…| What Is Random Forest in Machine Learning?
GPTs are an advanced AI technology that powers tools like ChatGPT and coding assistants. Known for their ability to understand and generate humanlike language,…| What Is GPT? Insights Into AI Language Models
What is active voice and passive voice? Active and passive voice are the two grammatical voices in English, each with distinct structures and purposes. What…| Active vs. Passive Voice: What's the Difference? | Grammarly
Chatbots have emerged as one of the most common forms of generative AI. Claude AI is a chatbot…| What Is Claude AI? Exploring the Creative Potential | Grammarly
In the rapidly changing field of artificial intelligence (AI), large language models (LLMs) have quickly become a foundational technology. In this article, you’ll learn…| What Are Large Language Models? AI’s Linguistic Giants | Grammarly
Table of contents What is a simile? How are similes structured? When to avoid similes What is a metaphor? How…| Simile vs. Metaphor: What’s the Difference? | Grammarly
GPT is the family of AI models behind many popular generative AI applications, such as chatbots and coding assistants. This article provides an overview…| What Is GPT? Everything You Should Know | Grammarly
Machine learning (ML) has quickly become one of the most important technologies of our time. It underlies products like ChatGPT, Netflix recommendations, self-driving cars,…| What Is Machine Learning? A Beginner’s Guide | Grammarly
