Author: Kevin Vu

In today's fast-paced world, we're bombarded with more information than we can handle. We’re increasingly getting used to receiving more information in less time, leading to frustration when having to read extensive documents or books. That's where extractive summarization steps in. To get to the heart of a text, the process pulls out key sentences from an article, piece, or page to give us a snapshot of its most important points. 

For anyone needing to understand big documents without reading every word, this is a game changer.

The Proof Is in the Preparation

Training an AI model might sound easy: give a neural network some data and bam, you got yourself an AI. This is far from the truth and there are numerous factors that go into developing the right model for the right job.

Developing a quality AI deployment is 90% in the prep coupled with continuous iterations and constant monitoring. Successfully developing and implementing AI systems is a complex process fraught with potential pitfalls. These shortcomings can lead to suboptimal outcomes, inefficient use of resources, and even significant challenges.

Artificial intelligence tasks are as innumerable as humans can creatively conceive of ways to apply AI technology.

While much can be said about artificial intelligence, this list is more of an artificial intelligence 101 crash course. We could deep dive into specific ways AI has improved our lives in ways we may not realize, but let’s start by defining artificial intelligence.

The universe is noisy and confusing, complex enough to make predictions difficult. Human intelligence and intuition facilitate a basic understanding of some of the activities of the world around us. And they do so well enough to make basic sense of events at the macro space and time scales of the limited perspectives of individuals and small groups. 

The natural philosophers of human prehistory and early history were mostly limited to common sense rationalization and guess and check. The limitations of these methods, especially for things that are just too big or too complex, are readily apparent in the prevalence and influence of superstition and magical thinking.