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
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?
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
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
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
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
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
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
