Kini Human-in-the-Loop? Itumọ | AI Understanding

Itumọ

Ṣiṣan iṣẹ nibiti eniyan ṣe atunyẹwo, itọsọna, tabi daakọ awọn abajade AI.

Awọn ofin ti o jọmọ

Ipele asiko-ṣiṣe nibiti awoṣe ikẹkọ n ṣe ipilẹṣẹ awọn asọtẹlẹ tabi awọn abajade.

Ṣiṣan iṣẹ aṣoju

Ilana igbesẹ-pupọ nibiti eto AI ṣe gbero, ṣiṣẹ, ṣayẹwo awọn abajade, ti o tun ṣe atunbere si ibi-afẹde kan.

Idanileko ati ọna apẹrẹ ihuwasi nibiti awọn abajade awoṣe jẹ itọsọna nipasẹ eto ti o wa titi ti awọn ipilẹ kikọ.

Iwọn aṣetunṣe nibiti aṣoju AI ṣe akiyesi, gbero, ṣe iṣe, ati tan imọlẹ titi yoo fi pari ibi-afẹde kan tabi de ipo iduro kan.

Awoṣe Ayanfẹ Eniyan

Awoṣe ikẹkọ lori awọn ipo eniyan lati ṣe asọtẹlẹ iru awọn idahun ti awọn olumulo le fẹ.

AGI (Oye oye gbogbogbo ti Oríkĕ)

Eto AI arosọ ti o le ṣe awọn iṣẹ-ṣiṣe ọgbọn julọ ni ipele eniyan kọja ọpọlọpọ awọn ibugbe.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Human-AI Collaboration Self-Reflection in Agent Loops Figure AI Humanoid Robots Reinforcement Learning From Human Feedback

Wo tun

Hallucination Hyperparameter Guardrails In-Context Learning Ground Truth Gradient Descent Inference-Time Compute Gradient

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ