AI Concepts Glossary

Your Guide to Understanding Key AI and Machine Learning Concepts

Free

Description

This website serves as a comprehensive knowledge base dedicated to clarifying complex topics within Artificial Intelligence and Machine Learning. It features detailed explanations of fundamental concepts such as Intelligent Agents, Compound AI Systems, Diffusion Models, and Foundation Models. The resource also delves into specific techniques like Retrieval-Augmented Generation (RAG), Low-Rank Adaptation (LoRA), Prompt Engineering, and Reinforcement Learning from Human Feedback (RLHF), providing clear definitions and context for learners and practitioners.

Additionally, the platform explores related topics including Vector Databases, Task Contamination, Machine Unlearning, and evaluation metrics like Perplexity. It aims to make advanced AI/ML principles accessible, aiding in the understanding of how modern AI systems, particularly Large Language Models, function and evolve. Articles on the anatomy of various neural networks further supplement the learning experience.

Key Features

Detailed Definitions: Clear explanations of core AI and ML concepts.

Concept Exploration: Covers topics from foundational models to advanced techniques like RAG and LoRA.

Technique Breakdowns: Explains methods such as DPO, RLHF, Prompt Engineering, and Fine-Tuning.

LLM Focus: Details concepts crucial to Large Language Models (LLMs).

Educational Articles: Features supplementary articles on neural networks and AI/ML introductions.

Glossary Format: Easy-to-navigate definitions for quick reference.

Use Cases

Learning AI/ML terminology.

Understanding specific AI techniques (e.g., RAG, LoRA, Prompt Engineering).

Researching concepts related to Large Language Models.

Getting quick definitions for AI/ML terms.

Supplementing AI/ML education.

Description

Key Features

Use Cases

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