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Mở ngay → 36 terms · Updated weekly
Quick lookup of AI terms in plain language
Every term: short definition → real example → when to use. No translation-ese, no fluff.
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36
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15/36
Beginner
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17/36
Intermediate
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4/36
Advanced
✨ Start here
Foundational terms to read first if you're new to AI.
#1
🌱
What is Artificial Intelligence (AI)?
The branch of computer science that builds machines capable of mimicking human reasoning, learning, and decision-making.
🌱 Basics Beginner
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#2 🤖
What is an LLM?
Large Language Models — AI systems trained on massive text corpora that can understand and generate human-like text. ChatGPT, Claude, and Gemini are all LLMs.
🤖 Models Beginner
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#3 ⚙️
What is a Token (in LLMs)?
The smallest unit an LLM processes — not a word, but a fragment. Tokens determine API cost and context limits.
⚙️ Techniques Beginner
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⚙️
Beginner
What is a Context Window?
The maximum amount of text an LLM can 'remember' in a single pass. It decides how much information you can fit into a prompt.
⚙️ Techniques #context#llm
🤖
Intermediate
What is a Diffusion Model?
A class of AI model that generates images by gradually denoising — the technology behind Midjourney, Stable Diffusion, and DALL-E.
🤖 Models #diffusion#image-gen
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Intermediate
What is a Foundation Model?
A large AI model trained on broad, general-purpose data — used as a base to fine-tune for many different tasks.
🤖 Models #foundation-model#llm
🌱
Beginner
What is a GPU? Why does AI need GPUs?
Graphics cards — hardware that accelerates parallel computation, the backbone of every modern AI model.
🌱 Basics #gpu#phan-cung
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Intermediate
What is a Neural Network?
A computational structure inspired by how neurons in the brain connect — the foundation of modern deep learning.
🌱 Basics #neural-network#deep-learning
⚙️
Beginner
What is a System Prompt?
An instruction block that 'configures' an LLM before the user starts chatting — it sets the AI's persona, format, and limits.
⚙️ Techniques #system-prompt#prompt
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Beginner
What is a Token (in LLMs)?
The smallest unit an LLM processes — not a word, but a fragment. Tokens determine API cost and context limits.
⚙️ Techniques #token#llm
🤖
Advanced
What is a Transformer?
A neural network architecture introduced in 2017, the foundation behind every modern LLM (GPT, Claude, Gemini).
🤖 Models #transformer#deep-learning
🛠️
Intermediate
What is a Vector Database?
A type of database specialized in storing and quickly searching vector embeddings — the foundation for RAG and semantic search.
🛠️ Tools #vector-db#embedding
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Intermediate
What is AI Alignment?
The research field that works to keep AI acting in line with human intent and values — even as systems grow more powerful.
🌱 Basics #alignment#safety
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Beginner
What is AI Hallucination?
When an LLM confidently produces information that is factually wrong — fabricated stats, fake citations, made-up events.
⚙️ Techniques #hallucination#llm
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Intermediate
What is an AI Agent?
An AI system that can plan, use tools, and take multi-step actions to complete a goal — not just answer a single question.
🚀 Applications #agent#tool-use
⚙️
Beginner
What is an AI API? How to use LLM APIs
How developers call AI models from code — how the Claude API, OpenAI API, and Gemini API work.
⚙️ Techniques #api#developer
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Intermediate
What is an Embedding?
A way to represent text, images, or anything else as numerical vectors so machines can compare meaning.
⚙️ Techniques #embedding#vector
🤖
Beginner
What is an LLM?
Large Language Models — AI systems trained on massive text corpora that can understand and generate human-like text. ChatGPT, Claude, and Gemini are all LLMs.
🤖 Models #llm#basics
🌱
Beginner
What is Artificial Intelligence (AI)?
The branch of computer science that builds machines capable of mimicking human reasoning, learning, and decision-making.
🌱 Basics #ai#co-ban
⚙️
Beginner
What is Chain of Thought (CoT)?
A prompting technique that asks an LLM to 'think step by step' before answering — significantly boosts accuracy on hard problems.
⚙️ Techniques #cot#prompt
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Intermediate
What is Chunking in AI & RAG?
The technique of splitting large documents into smaller, meaningful segments to optimize embeddings and retrieval accuracy for LLMs.
⚙️ Techniques #chunking#rag
🌱
Beginner
What is Computer Vision?
The branch of AI that lets machines 'see' and interpret images and video — from face recognition to self-driving cars.
🌱 Basics #computer-vision#vision
🌱
Beginner
What is Deep Learning?
A branch of machine learning that uses many-layered neural networks to learn from complex data like images, audio, and text.
🌱 Basics #deep-learning#neural-network
⚙️
Intermediate
What is Fine-tuning?
The process of further training an existing AI model on your data so it gets better at a specific task or matches a specific style.
⚙️ Techniques #fine-tuning#training
⚙️
Intermediate
What is Function Calling (Tool Use)?
The ability for an LLM to call external functions or APIs to fetch real data — not just generate text from memory.
⚙️ Techniques #function-calling#tool-use
🌱
Beginner
What is Generative AI?
A type of AI that doesn't just classify or predict — it CREATES new content: text, images, video, code, and music.
🌱 Basics #generative-ai#co-ban
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Intermediate
What is Inference (AI Inference)?
The process of running a trained AI model to serve users — the main driver of cost and latency in any AI product.
⚙️ Techniques #inference#llm
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Intermediate
What is Jailbreak (AI)?
Techniques that bypass an LLM's safety guardrails to make it do something it would normally refuse.
⚙️ Techniques #jailbreak#safety
🛠️
Intermediate
What is LangChain?
An open-source framework designed to help developers build context-aware AI applications by connecting LLMs with external data sources and tools.
🛠️ Tools #langchain#llm
⚙️
Advanced
What is LoRA?
Low-Rank Adaptation — a technique for fine-tuning large models that saves 100-1000× the resources of full fine-tuning.
⚙️ Techniques #lora#fine-tuning
🌱
Beginner
What is Machine Learning?
An approach to AI where computers learn patterns from data instead of being programmed step by step.
🌱 Basics #machine-learning#basics
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Intermediate
What is MCP (Model Context Protocol)?
An open standard from Anthropic that lets LLMs connect to tools, databases, and apps through a single unified protocol.
⚙️ Techniques #mcp#agent
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Intermediate
What is Multimodal AI?
AI that can handle multiple data types at once — text, images, audio, video — not just text like older LLMs.
⚙️ Techniques #multimodal#llm
🌱
Beginner
What is NLP (Natural Language Processing)?
The branch of AI that helps machines read, understand, and produce human language — from Google Translate to ChatGPT.
🌱 Basics #nlp#language
⚙️
Beginner
What is Prompt Engineering?
The craft of writing instructions that get AI models to produce better, more reliable output.
⚙️ Techniques #prompt#llm
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Advanced
What is Quantization?
A technique for reducing numeric precision in AI models so they run faster and use less RAM — at the cost of a bit of accuracy.
⚙️ Techniques #quantization#optimization
⚙️
Intermediate
What is RAG (Retrieval-Augmented Generation)?
A technique that lets an LLM look up your documents before answering — reducing hallucinations and grounding answers in real data.
⚙️ Techniques #rag#llm
⚙️
Advanced
What is RLHF?
Reinforcement Learning from Human Feedback — a technique that uses human feedback to teach LLMs to answer in a way that matches human preferences.
⚙️ Techniques #rlhf#training
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Intermediate
What is Training?
The process of teaching an AI model by showing it millions or billions of examples and adjusting its internal parameters.
⚙️ Techniques #training#llm
