AI sounds complicated because experts use big words to sound smart. We are here to translate "Tech-Speak" into "Human-Speak."
This is your cheat sheet for the AI Economy. Bookmark this page.
The Basics
1. LLM (Large Language Model)
What it is: An AI that has read the entire internet. It predicts the next word in a sentence.
Example: ChatGPT, Claude, and Gemini are all LLMs.
2. Prompt Engineering
What it is: The art of talking to an AI to get the result you want. It is not coding; it is logic.
Why it matters: It is currently a $120k/year job.
3. Hallucination
What it is: When an AI confidently lies to you. It makes up facts because it doesn't "know" the truth; it only knows probability.
Tip: Always fact-check important data.
Advanced Concepts (2025 Era)
4. AGI (Artificial General Intelligence)
What it is: The "Holy Grail" of AI. An AI that can learn any intellectual task that a human can do. It is smarter than us.
Status: Predicted to arrive by 2026 or 2027.
5. Multimodal
What it is: An AI that can see, hear, and speak. It handles text, images, and audio at the same time.
Example: Showing ChatGPT a picture of your fridge and asking for a recipe.
6. Zero-Shot Learning
What it is: When an AI can do a task it was never specifically trained to do, just by using logic.
The Scary Stuff
7. Deepfake
What it is: Using AI to swap faces or clone voices in videos. It is often used for scams or fake news.
8. Prompt Injection
What it is: A "hack" where users trick an AI into breaking its own rules (e.g., telling it to act like a villain to bypass safety filters).
Conclusion
Don't let the jargon intimidate you. Understanding these words is the first step to mastering the tools.
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