Multimodal Generative AI Concepts

Core Definition Multimodal AI is a type of artificial intelligence that can process, integrate, and reason across multiple types of data simultaneously. Unlike traditional AI that focuses on a single type of input, these systems attempt to fusion data to combine diverse sensory information into a unified understanding.  This approach is closer to human perception, Read More …

The AI Stack as seen by Google

This hierarchical view can be a great way to understand how the different components work together to deliver AI solutions within Google’s stack. 1. Infrastructure Layer The foundational infrastructure layer is the bedrock of the entire AI stack, serving as the essential engine that provides the physical and virtual resources necessary to power sophisticated AI Read More …

What are LISP worlds?

Lisp (programming language) is a family of programming languages that originated in the 1950s, known for its unique syntax and strong support for symbolic computation and artificial intelligence, with dialects like Common Lisp and Scheme still used today. [1, 2, 3] Here’s a more detailed look at Lisp: Key Features and Concepts: [1, 4] Symbolic Computation: Lisp excels at manipulating symbols Read More …

Generative AI

While “Generative AI” isn’t an acronym, it’s a fundamental concept in the field. Think of it like this: traditional AI often focuses on analyzing existing data – identifying patterns, classifying information, or making predictions based on what it has already seen. Generative AI, on the other hand, goes a step further; it learns the underlying Read More …