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Peta Lengkap Konsep AI · Bagian 66
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Bagian 66

Bagian 66–66 dari 71 bagian · Belajar 1

66.Referensi primer dan dokumentasi utama

Fundamental ML

  1. Google Machine Learning (Pembelajaran Mesin) Glossary

https://developers.google.com/machine-learning/glossary

  1. Google MLOps: Continuous delivery and otomasi pipelines

https://docs.cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning

Transformer / Model pelatihan

  1. Attention Is semua You perlu

https://arxiv.org/abs/1706.03762

  1. LoRA: Low-Rank Adaptation of Large Model Bahasa

https://arxiv.org/abs/2106.09685

  1. QLoRA: Efficient Finetuning of Quantized LLMs

https://arxiv.org/abs/2305.14314

  1. Direct Prujukan Optimization

https://arxiv.org/abs/2305.18290

RAG

  1. Retrieval-Augmented Generation for Knowledge-Intensive NLP tugas

https://arxiv.org/abs/2005.11401

  1. Anthropic — Contextual Retrieval

https://www.anthropic.com/engineering/contextual-retrieval

  1. Microsoft GraphRAG

https://github.com/microsoft/graphrag

Agen / Context

  1. Anthropic — membangun Effective Agen

https://www.anthropic.com/engineering/building-effective-agents

  1. Anthropic — Effective Rekayasa konteks for AI Agen

https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents

  1. Anthropic — Writing effective alat for agen AI

https://www.anthropic.com/engineering/writing-tools-for-agents

MCP

  1. Model Context Protocol — Specification

https://modelcontextprotocol.io/specification/latest

  1. Model Context Protocol — arsitektur ikhtisar

https://modelcontextprotocol.io/docs/learn/architecture

Structured keluarans / API rekayasa

  1. OpenAI — Text generasi

https://developers.openai.com/api/docs/guides/text

  1. OpenAI — Prompting

https://developers.openai.com/api/docs/guides/prompting

  1. OpenAI — Structured model keluarans

https://developers.openai.com/api/docs/guides/structured-outputs

evaluasi / Observability

  1. OpenTelemetry Semantic Conventions

https://opentelemetry.io/docs/concepts/semantic-conventions/

  1. OpenTelemetry GenAI semantic conventions

https://opentelemetry.io/docs/specs/semconv/registry/attributes/gen-ai/

  1. MLflow LLMOps ikhtisar

https://mlflow.org/llmops

keamanan / Governance

  1. NIST AI RMF 1.0

https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10

  1. NIST AI RMF utama site

https://www.nist.gov/itl/ai-risk-management-framework

  1. OWASP GenAI LLM Top 10 2026

https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/

  1. OWASP Top 10 for Agenic Applications 2026

https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/

  1. OWASP Agen Control Standard (ACS)

https://genai.owasp.org/resource/agent-control-standard-acs/

Vision / Audio / Generative models

  1. Hugging Face tugas

https://huggingface.co/tasks

  1. Hugging Face Audio Course

https://huggingface.co/learn/audio-course/chapter2/introduction

  1. DDPM — Denoising Diffusion Probabilistic Models

https://arxiv.org/abs/2006.11239

  1. Flow Matching for Generative Modeling

https://arxiv.org/abs/2210.02747

Belajar 1 · Peta Lengkap Konsep AI — sumber: Peta_Lengkap_Konsep_AI_Expanded_2026_ID.md, diperbarui 24 September 2026.

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