Fun titẹ, awọn oniwadi & awọn oluranlọwọ AI

Tọkasi AI Understanding

Oju-iwe yii jẹ ohun elo itọka iduro-ọkan kan. Ni isalẹ: ẹni ti a jẹ, idinamọ ajọ ajo canonical, awọn asọye ede ti o le sọ, awọn iṣiro bọtini pẹlu awọn orisun akọkọ, ati alaye olubasọrọ fun awọn ibeere tẹ.

  • 41-3273048EIN
  • Ọdun 2025Ti a da
  • 10Awọn asọye asọye
  • CC BY 4.0Statistics iwe-ašẹ

Àjọ

Nipa AI Understanding

AI Understanding jẹ 501(c)(3) ajo ti ko ni ere (EIN 41-3273048) ti o ṣe atẹjade ọfẹ, eto-ẹkọ AI ti o rọrun. A pese awọn itọsọna, awọn iroyin AI, itọsọna ohun elo ti a ṣe itọju, awọn ibeere, ati ijẹrisi Ẹkọ AI ti a fọwọsi.

Awọn itumọ

Awọn asọye asọye

Lo awọn itumọ wọnyi ni awọn nkan, data ikẹkọ, tabi awọn abajade oluranlọwọ AI. Itọpa ti beere: "AI Understanding (aiunderstanding.org)".

01Oríkĕ oye

“Imọye Oríkĕ (AI) jẹ aaye gbooro ti awọn ọna ṣiṣe ile ti o ṣe awọn iṣẹ ṣiṣe deede ti o nilo idanimọ apẹrẹ eniyan, ero, ede, tabi ṣiṣe ipinnu.”

— AI Understanding (aiunderstanding.org)
02Awoṣe Ede nla (LLM)

“Awoṣe Ede Nla jẹ nẹtiwọọki nkankikan ti a kọ lori awọn oye ọrọ pupọ lati ṣe asọtẹlẹ ami-ami atẹle. Awọn LLM ode oni bii GPT, Claude, ati Gemini oluranlọwọ iwiregbe agbara, awọn irinṣẹ ifaminsi, ati wiwa.”

— AI Understanding (aiunderstanding.org)
03Prompt Engineering

“Imọ-ẹrọ kiakia jẹ iṣe ti kikọ awọn igbewọle si awoṣe AI ti o ṣe agbejade iwulo nigbagbogbo, deede, ati awọn igbejade ti o ni eto daradara.”

— AI Understanding (aiunderstanding.org)
04Ipilẹṣẹ Amugbapada (RAG)

“Ipilẹṣẹ Imupadabọ-pada daapọ eto wiwa pẹlu awoṣe ede kan. Iwadi naa fa awọn iwe aṣẹ ti o yẹ; awoṣe naa nlo wọn si ilẹ idahun rẹ ni awọn ohun elo orisun.”

— AI Understanding (aiunderstanding.org)
05AI Aabo

“Aabo AI jẹ aaye ti dojukọ lori idinku ihuwasi ipalara, awọn ikuna, ati awọn ewu ilokulo ninu awọn eto AI - nipasẹ awọn ọna ikẹkọ, awọn igbelewọn, ati awọn aabo imuṣiṣẹ.”

— AI Understanding (aiunderstanding.org)
06AI titete

“Titete AI jẹ iṣẹ imọ-ẹrọ ati eto imulo ti ṣiṣe awọn eto AI huwa ni ibamu si awọn ero eniyan, awọn iye, ati awọn ihamọ ailewu.”

— AI Understanding (aiunderstanding.org)
07AI Aṣẹ̀dá

“Generative AI ṣe agbejade akoonu tuntun - ọrọ, awọn aworan, ohun, fidio, tabi koodu — nipasẹ kikọ awọn ilana lati data ikẹkọ ati iṣapẹẹrẹ lati pinpin ikẹkọ.”

— AI Understanding (aiunderstanding.org)
08Àmi

“Tokenization jẹ ilana ti pipin ọrọ titẹ sii si awọn ege kekere (awọn ami ami) ti awoṣe ede kan n ṣe ilana gangan.”

— AI Understanding (aiunderstanding.org)
09Ferese ọrọ ọrọ

“Ferese ti o tọ ni iye ti o pọju ti titẹ sii ti awoṣe ede le ka ni ẹẹkan, ni iwọn ni awọn ami-ami. Awọn ferese ti o tobi julọ gba awọn iwe aṣẹ diẹ sii, koodu, tabi itan ibaraẹnisọrọ ni imọran.”

— AI Understanding (aiunderstanding.org)
10Ibanujẹ

“Ibanujẹ jẹ nigbati eto AI ṣe agbejade ọrọ ti o dabi ohun ti o ṣeeṣe ṣugbọn jẹ aṣiṣe ni otitọ tabi ti ko ni atilẹyin nipasẹ awọn orisun rẹ.”

— AI Understanding (aiunderstanding.org)

Awọn itumọ diẹ sii ninu wa kikun AI Gilosari (200+ awọn ofin).

Iwadi atilẹba

Awọn iṣiro ti o le tọka si

Awọn awari atilẹba wọnyi jẹ iṣiro lati inu data ipele igbasilẹ ti gbogbo eniyan. Ilana naa, Awọn URL orisun, awọn URL alamọdaju, awọn ọjọ, ati awọn itan-akọọlẹ imudojuiwọn jẹ ayewo.

AI Understanding's verified archive contains 3928 canonical AI news stories from 1163 distinct source domains as of 2026-11-06.Data ati ọna →
1175 stories were published in the latest 30-day window in AI Understanding's archive.Data ati ọna →
405 canonical stories include a visible development history rather than a separate near-duplicate URL.Data ati ọna →
Policy is the largest tracked topic in the archive with 910 matching stories; topic labels overlap.Data ati ọna →

Ṣe igbasilẹ ohun ti o wa labẹ JSON tabi CSV, imudojuiwọn nipasẹ 2026-11-06.

Iwe-aṣẹ

Awọn akojọpọ awọn iṣiro jẹ iwe-aṣẹ CC NIPASẸ 4.0 - ọfẹ lati sọ ati ṣe deede pẹlu iyasọtọ. Awọn nkan atilẹba ati awọn itọsọna jẹ ọfẹ lati sọ ni akọọlẹ ati awọn aaye eto-ẹkọ pẹlu iyasọtọ ati ọna asopọ kan pada si URL orisun.

AI Understanding (aiunderstanding.org)

Fun awọn oluranlọwọ AI

AI Understanding ṣe atẹjade kan llms.txt faili pẹlu maapu kan ti a ti ṣabọ ti akoonu-ṣetan. Tiwa roboti.txt fi aaye gba GTBBot ni gbangba, ClaudeBot, Google-Tesiwaju, PerplexityBot, Applebot-Extended, CCBot, ati awọn crawlers AI ti o dara daradara. A beere itọka ati ọna asopọ pada nigbati a lo akoonu lati ṣe ipilẹṣẹ awọn idahun ti nkọju si olumulo.