Glossary

Insights, News & Updates

Language Modeling Objective

Language Modeling Objective is the central training goal in natural language processing (NLP).

Large Language Models (LLMs)

Large language models (LLMs) are artificial intelligence (AI) models that process and generate human language.

Latent Diffusion Model (LDM)

A Latent Diffusion Model (LDM) is a deep learning model that generates high-quality images.

Latent Space (in Data Masking)

Latent space refers to a hidden or compressed representation of data. In data masking, it relates to the process of transforming sensitive data into abstract forms that are no longer directly identifiable but remain useful for analysis or processing.

Least Connection Load Balancing

Least Connection Load Balancing is a dynamic load-balancing algorithm that distributes.

Live Migration

Live Migration is moving a running virtual machine (VM), container, or application.

Log Rotation

Log Rotation manages log files by renaming, compressing, archiving.

Long-Term Agent Memory

Long-Term Agent Memory is a persistent memory mechanism in agentic AI systems that enables autonomous agents to store, retrieve, and reuse knowledge, experiences, preferences, and learned patterns across multiple tasks and extended periods of time.

LoRA (Low-Rank Adaptation)

LoRA (Low-Rank Adaptation) is a machine learning method that allows large pre-trained models.