AI Techniques

Methods and approaches used in AI development and application

Chain of Thought

A prompting technique that guides AI models to break down complex problems into intermediate reasoning steps.

Few-Shot Learning

A technique where AI models learn to perform tasks from a small number of examples provided in the prompt.

Fine-Tuning

The process of further training a pre-trained AI model on specific data to adapt it for specialized tasks or domains.

Prompt Engineering

The practice of designing and optimizing inputs to AI systems to elicit desired outputs or behaviors.

Retrieval-Augmented Generation (RAG)

A technique that enhances AI responses by retrieving relevant information from external knowledge sources before generating an answer, improving accuracy and reducing hallucinations.

Vector Embeddings

Numerical representations of text, images, or other data that capture semantic meaning in a high-dimensional space.

Zero-Shot Learning

The ability of AI models to perform tasks without any specific examples, using only instructions or descriptions.