Quiz motif agent ReAct

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Yan ñaari mënin la motif ReAct boole?
   • Xalaatal (xalaatal) ak jëf (jëfandikoo jumtukaay)
   • Defar nataal ak synthese audio
   • Enkripsioŋ ak kompresioŋ
   • Imprime ak skane
2. Lan mooy ñetti mbir yiy baamtu ci ReAct loop?
   • Duggal, genn, tàmbaliwaat
   • Xalaat, Jëf, Seetlu
   • Kode, Dekode, Wane
   • Duggal, genn, yeesal
3. Luy 'Seetlu' ci loop ReAct?
   • Plan bi ci biir model bi
   • Baatu-jàll jëfandikukat
   • Resultaa bi ñuy delloo ginaaw bi ñu defee benn jëf, lu melni resultaawu seetlu
   • ab imeel bu mujj
4. Lan moo waral ReAct mëna wàññi gis-gis bu jaarul yoon buñu ko méngale ak xalaat bu jaar yoon?
   • Du musa bàyyi model bi xalaat
   • Dafay efaase done yiñ tàggat ci model bi
   • Du dox ludul ci net bi
   • Dafay sukkandikoo ci seetlu yu dëggu yu bawoo ci jumtukaay ak done yu bawoo ci biti
5. What improvement did the ReAct paper report over imitation/RL baselines on ALFWorld?
   • An absolute success-rate improvement of 34 percentage points in its evaluated setup
   • A 100% success rate across all tasks
   • A 34% reduction in tool calls on every benchmark
   • Amul coppite buñ mëna natt
6. Which external source did the ReAct paper use to retrieve observations in its knowledge-intensive QA experiments?
   • A private medical database
   • A Wikipedia API
   • A spreadsheet stored in the model weights
   • An offline dictionary only
7. How can an observation change the next step in a ReAct trajectory?
   • It is always ignored after an action
   • It guarantees the next action is correct
   • The model can revise its plan based on the tool or environment result
   • It automatically becomes the final answer
8. Which task types did the original ReAct paper evaluate?
   • Only image compression
   • Only speech recognition
   • Only spreadsheet formatting
   • Knowledge-intensive question answering and interactive decision-making