Start a proof of concept

AI Glossary: Terms, Definitions, and Concepts Explained

Insights, News & Updates
few-shot-chain-of-thought

Few-Shot Chain-of-Thought: Definition and Real Examples

Few-shot Chain-of-Thought (CoT) prompting is used in large language models (LLMs). In this strategy, the user provides a few examples of step-by-step reasoning (called chains of thought ) to guide the model toward generating its rationale for new questions.
Few-Shot Learning

Few-Shot Learning: Definition, Examples, and Use Cases

Few-shot learning is a type of machine learning where a model.
Few-Shot Prompting

Few-Shot Prompting: Definition, Examples, and How It Works

Regular machine learning workflows often depend on large labeled datasets.
Fine-Tuning

Fine-Tuning in AI: Definition, Examples, and How It Works

Fine-tuning is a machine learning process in which a pre-trained model.
Fine-tuning with PEFT (Parameter-Efficient Fine-Tuning)

Fine-tuning with PEFT (Parameter-Efficient Fine-Tuning)

Parameter-Efficient Fine-Tuning (PEFT) is a method for adapting large pre-trained models.
format-preserving-encryption

Format-Preserving Encryption: Definition and Real Examples

Format-Preserving Encryption (FPE) is a specialized encryption technique that encrypts data while preserving its original format and structure. 
Generative Adversarial Networks

Generative Adversarial Networks (GANs) Definition Guide

A generative adversarial network (GAN) is a deep learning model comprising.
Generative AI

Generative AI (GenAI): Definition, Examples, and Use Cases

Generative AI (also known as GenAI) is an artificial intelligence.
Goal Stack scaled

Goal Stack in AI: Definition, Examples, and Use Cases