01
Yayasan AI
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Perpustakaan AI gratis
Pelajari AI.Gratis selamanya.
1019 panduan berbahasa Inggris sederhana, jalur pembelajaran terstruktur, dan perpustakaan terbuka — dibuat oleh lembaga nonprofit 501(c)(3) independen sehingga siapa pun dapat memahami AI modern.
1019Panduan gratis
9Trek topik
~2 minSesuai panduan
~34hReading time
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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Pengguna AI yang bertanggung jawab
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI di Tempat Kerja
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
Kebijakan & Masyarakat AI
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Membangun dengan Sistem AI
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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Dasar-dasarKonsep inti: cara kerja AI pada tingkat tinggi.84 panduan Bahasa AILLM, NLP, ChatGPT, bisikan, dan pemahaman teks.155 panduan AI visualPembuatan gambar, visi komputer, video, dan desain.133 panduan Audio AISuara, musik, podcasting, dan AI yang mengutamakan audio.117 panduan PerusahaanProfil OpenAI, Anthropic, Google, Meta, dan banyak lagi.121 panduan AplikasiBagaimana AI muncul dalam coding, pencarian, agen, dan kehidupan sehari-hari.111 panduan IndustriAI di bidang kesehatan, keuangan, pendidikan, energi, dan banyak lagi.91 panduan TeknisChip, fine-tuning, RAG, vektor, dan infrastruktur AI.177 panduan MasyarakatBias, privasi, hak cipta, keamanan, dan masa depan AI.30 panduan
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Dasar-dasar
Dasar-dasar Evaluasi AI
AI evaluation tests whether a system meets a defined purpose under stated conditions.
Dasar-dasarKolaborasi Manusia-AI
Human-AI collaboration divides work between people and AI systems while keeping responsibility and control clear.
Dasar-dasarPengambilan Keputusan AI
AI can supply predictions, organize evidence, or recommend actions, but choosing an action also requires goals, constraints, and responsibility.
Dasar-dasarMode Kegagalan AI
An AI failure mode is a repeatable way a system can produce an unacceptable result.
Bahasa AIEvaluasi LLM
LLM evaluation measures a language model or application against defined tasks and failure conditions.
Bahasa AIProtokol Konteks Model
Model Context Protocol, or MCP, defines a common interface through which an AI host can connect to servers offering tools, resources, and prompts.
Bahasa AIPanggilan Alat
Tool calling lets a model request an operation through a defined interface.
Bahasa AIPeringkasan AI
AI summarization creates a shorter representation of source material.
Bahasa AIKualitas Pengambilan
Retrieval quality measures whether a search system returns useful evidence for a query and places it where a reader or downstream model can use it.
Bahasa AIKeluaran Terstruktur
Structured outputs organize model responses into a defined shape, such as a JSON object validated against a schema.
Bahasa AILLM multibahasa
A multilingual language model works with more than one language using shared learned representations.
AI visualPenalaran Visual
Visual reasoning involves answering questions about relationships, quantities, spatial arrangements, or other information in visual material.
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