AI Skills & How They Work

AI skills are not magic and not a product: they are specific capabilities, language understanding, pattern recognition, and genera…

Prompt engineering is the practice of shaping model behavior through instructions, examples, and structure, and it is closer to ex…

Neural networks learn by adjusting billions of weights to reduce a loss function across training examples, using gradient descent …

Fine-tuning changes model weights to teach new behavior or style; RAG keeps weights frozen and injects relevant documents at query…

AI coding assistants autocomplete, explain, and refactor code inside your editor, and they change how fast you move more than how …

Embeddings turn text, images, or other data into lists of numbers so that similar items land close together in a high-dimensional …

AI literacy for IT professionals means understanding what models can and cannot do, how to evaluate them, and how to integrate the…

Human-in-the-loop systems use people to guide, correct, or approve AI behavior, and RLHF is the training technique that turns huma…

Orchestration frameworks chain models, tools, and data into multi-step workflows and agents. They save boilerplate and impose stru…

Data preprocessing is the unglamorous work that determines model quality: cleaning, normalizing, chunking, and labeling the data b…