Beginner ai
Context Window
The maximum amount of text an LLM can process in a single interaction - inputs plus outputs combined.
#machine-learning
11 results
Glossary
Intermediate ai
Embedding
A numerical vector that represents the meaning of text, enabling AI to compare and retrieve semantically similar content.
Intermediate ai
Fine-Tuning
Fine-tuning adapts a pre-trained LLM to a specific task or domain by continuing training on a curated dataset of examples.
Beginner ai
Foundation Model
A foundation model is a large AI model trained on broad data at scale, designed to be adapted to many downstream tasks rather than one specific use case.
Intermediate ai
Inference
Inference is the process of running a trained AI model on new inputs to generate predictions or outputs, as opposed to training the model on data.
Beginner ai
Large Language Model (LLM)
An LLM is a deep learning model trained on massive text datasets to generate, summarize, translate, and reason with human language.
Beginner ai
Multimodal AI
AI models that can process and generate multiple types of data - text, images, audio, and video - within a single system.
Intermediate ai
Retrieval-Augmented Generation (RAG)
RAG is an AI architecture that combines a retrieval system with an LLM, giving the model access to external knowledge at query time.
Intermediate ai
Synthetic Data
Artificially generated data that mimics real data - used to train, test, and fine-tune AI models when real data is scarce or private.
Intermediate ai
Vector Database
A database optimized for storing and searching vector embeddings - the backbone of AI-powered search and RAG systems.
Intermediate ai
Zero-Shot Learning
An AI model's ability to perform a task it was never explicitly trained on, guided only by a natural language description.