APEX Trail #1: AI Basics Made Simple

Vocabulary flashcards covering core AI definitions, job market statistics, common misconceptions, and upcoming AI trends from APEX Trail #1.

Artificial Intelligence (AI)

Machines learning from data to help us make decisions or create things.

Generative AI

A type of artificial intelligence that uses machine learning and deep learning to create new content by learning patterns from existing data and responding to user prompts.

Machine Learning

A process when a machine learns with patterns to produce predictions and classifications of known inputs.

Deep Learning

A process that breaks down all layers, visuals, elements, and context to generate music, voices, images, or paintings.

NLP (Natural Language Processing)

The part of AI that enables machines to understand, interpret, and generate human language whether written or spoken, allowing computers to read, listen, talk, and write like humans.

LinkedIn Southeast Asia Skills Statistic

According to LinkedIn, skills needed for jobs changed by $40\%$ across Southeast Asia between $2015$ and $2023$.

LinkedIn Philippines Job Skills Statistic

By $2030$, skills for jobs in the Philippines (PH) will change by $67\%$ with Generative AI.

Misconception: AI Will Take Jobs

The reality that AI automates tasks, but humans bring context, empathy, and judgement.

Misconception: AI Is Always Right

The reality that AI can make mistakes, which is why human judgement is always needed.

Misconception: AI Thinks Like Humans

The reality that AI only learns from data, meaning if the data is biased, the results can be biased.

Agentic AI

An upcoming AI trend that shifts AI from a tool to a teammate that takes action.

Physical AI

An upcoming AI trend that takes AI into the tangible world like robots, sensors, and devices.

Vibe Coding

An upcoming AI concept that democratices coding by lowering technical barriers components.