CORE LLM

Want to really understand large language models? Here’s a gentle primer.

LAION-5B is an open-source foundation dataset. It contains 5.8 billion image and text pairs—a size too large to make sense of. We follow the construction of the dataset to better understand its contents, implications and entanglements.

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This page provides an introduction to Gen AI and definitions for commonly used terms.

Access comprehensive guides, tutorials, and best practices for working with Claude. Learn how to craft effective prompts and maximize AI interactions in your workflow.

Learn about the technology stack for artificial intelligence (AI) and leverage an end-to-end AI infrastructure that supports your AI workflows.

Explore various types of AI models to help you develop innovative solutions for optimizing your business workflows.

In this article, we present the top 12 free AI courses, great for an introduction to this field. Pick the best free AI introductory course for you.

LinkedIn has 250 courses focused on AI that can help address the needs of everyone from AI newbies to power users.

Review a list of free online courses and resources designed to help you learn more about artificial intelligence before introducing AI to your students.

As artificial intelligence (AI) reshapes industries, powers innovation, and redefines how we live and work, understanding its core principles is increasingly important. We curated a list of 13 foundational AI courses and resources from MIT Open Learning — most of them free — to help you grasp the basics of AI, machine learning, machine vision, and algorithms.

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From streaming services to self-driving cars, AI is all around us. But what is it, really? Learn how AI works, its types, and real-world examples.

One-hot encoding is a process used to convert categorical data into a numerical format that machine learning algorithms can understand. It works by creating a new binary column for each unique category in the original data. Each new column contains a value for that category and for all others. [1...

Backpropagation, short for "backward propagation of errors," is a fundamental algorithm used to train artificial neural networks, particularly in the context of deep learning. It's a key component in enabling neural networks to learn from data and improve their predictive accuracy over time. [1] ...