An Introduction to Artificial Intelligence: Neural Networks, NLP, and Word Embeddings

Part 1: The Very Basics

How Does It Really Work?

Artificial intelligence (AI) has surged into the mainstream in recent years, captivating audiences with innovations like ChatGPT. Despite its prevalence in conversations, the inner workings of AI remain a mystery to many. These advanced tools can now handle text processing, image and video generation, code writing, and task automation. Speculations abound about a future where AI supplants programmers, autonomously creates products, and potentially displaces numerous jobs. Though these doomsday predictions may seem far-fetched, I see AI as a potent instrument that, judiciously wielded, can enhance our efficiency and productivity.

Consider this: AI excels at code snippet generation, interpreting ambiguous queries, and furnishing rapid responses—akin to an enhanced iteration of Google. While its capabilities may seem akin to magic, they are firmly grounded in technology and data science principles.

Stay tuned for our upcoming segments exploring neural networks, natural language processing (NLP), and word embeddings in the realm of AI. These foundational concepts underpin the remarkable advancements reshaping the technological landscape.