Tag
fundamentals
18 entries tagged fundamentals · 18 terms.
Dictionary
API (Application Programming Interface)
A structured way for software systems to talk to each other, like a menu that lists what you can ask a service to do and how to ask for it.
CLI (Command Line Interface)
A text-based way to interact with your computer by typing commands instead of clicking buttons in a graphical interface.
Context Window
How much an AI can 'remember' in a single conversation. Think of it as the AI's working memory.
Deployment
The process of taking your code from your local machine and putting it live on the internet where people can access it.
Embeddings
A way of converting text into numbers so that AI can measure how similar or related different pieces of content are.
Environment Variables
Secret configuration values (like API keys and database URLs) stored outside your code so they stay secure and can change between environments.
Fine-Tuning
The process of taking a pre-trained AI model and training it further on specific data to make it better at a particular task.
Git
A version control system that tracks every change to your files, letting you save snapshots, undo mistakes, and collaborate without overwriting each other's work.
Hallucination
When an AI model confidently generates information that is incorrect, fabricated, or nonsensical.
Inference
The process of an AI model generating a response to your input, as opposed to the training phase when it originally learned.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Prompt Engineering
The skill of writing clear, structured instructions to get better and more consistent results from AI models.
Repository
A project folder tracked by Git that contains all your code, files, and their complete change history.
Retrieval-Augmented Generation (RAG)
A technique that feeds relevant documents to an AI model at query time so it can answer questions using your actual data instead of guessing.
Serverless
A way to run backend code without managing servers, where the cloud provider handles all the infrastructure and you only pay for what you use.
Temperature
An AI setting that controls how creative or predictable the model's responses are, on a scale from 0 to 1 (or higher).
Token
The small chunks of text that AI models read and generate, roughly three-quarters of a word each.
Training Data
The massive collection of text, code, and other content that an AI model learns from before it can generate responses.