Startup & Tech Glossary

Plain-English definitions of startup, funding, AI, and tech terms — with Philippine examples where possible.

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Ai Machine Learning

Agentic engineering means directing AI agents to write, test, and ship code, while a human developer reviews and steers the outcome.

Ai Machine Learning

An AI agent is a program that plans steps, uses tools, and takes actions on its own to complete a goal, not just answer a question.

Ai Machine Learning

The context window is the maximum amount of text an AI model can read and remember at once when producing a response.

Ai Machine Learning

Fine-tuning is further training an existing AI model on a smaller, specific set of examples so it gets better at one task.

Ai Machine Learning

A foundation model is a huge, general-purpose AI model trained on massive data that can be adapted for many different tasks.

Ai Machine Learning

A hallucination is when an AI states something false or invented as if it were a confirmed fact.

Ai Machine Learning

Inference is the moment an already-trained AI model actually generates an answer for a real user, after training is done.

Ai Machine Learning

An LLM is an AI trained on huge amounts of text so it can understand and generate human-like language, such as Claude or ChatGPT.

Ai Machine Learning

MCP is an open standard letting AI models connect to outside tools and data in one consistent way, instead of custom code each time.

Ai Machine Learning

Prompt engineering is the skill of writing clear, well-structured instructions to get better answers out of an AI model.

Ai Machine Learning

RAG lets an AI look up real documents before answering, so its response is grounded in actual information instead of memory alone.

Ai Machine Learning

Training data is the large collection of text, images, or other examples used to teach an AI model how to do its task.

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