AI Learning Guide

Aralia AI SDK

AI Agent Tutorial

Quick Start

System Overview & Core Concepts

Prerequisite

Experiment in Colab

Custom AI Workflow

🔌DataPlanet API

Aralia Data Ecosystem

Aralia provides an open data ecosystem (Open Data Ecosystem) that lets data providers safeguard data integrity and share without allowing downloads, while enabling users to quickly obtain well-organized data insights and then perform cross-analysis with their own data.

Aralia Data Ecosystem

• https://openrag.dev.araliadata.io/ — A demo site showcasing the integrated application of AI toolkits and RAG technology. It offers an interactive interface where users can submit queries and experience AI (Artificial Intelligence) and RAG (Retrieval-Augmented Generation).
• https://marketing.araliadata.io/planets — Users can start exploring various datasets with a simple search. The page is intentionally minimal: type the topic you want to query and begin your data exploration journey.

LLM

LLM (Large Language Model) is a type of AI model designed to understand, generate, and process human language. It is typically based on deep learning—especially the Transformer architecture—and can learn linguistic structure and semantics from large volumes of text.

Key Characteristics of LLMs

• Large scale: Model parameters often reach tens of billions or more, capturing complex language patterns.
• Versatility: Applicable to Q&A, translation, summarization, dialogue, code generation, and more.
• Self-learning: Trained on massive corpora, models learn language knowledge without manual labeling of every detail.

Common LLM Examples

• OpenAI’s GPT series (e.g., GPT-5)
• Google’s BERT, PaLM
• Meta’s LLaMA

AI Agent

RAG

SDK

LangGraph

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