quiz bu lëkkale ak tegtal · Diggante Niveau
LangChain
Saytu li LangChain defar, LangGraph di doxal ci anam wu yomb, dagg nit, ak jàngat LangSmith ngir aplikaasioŋu LLM.
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Lan mooy xalaat bu mag bi ci ginaaw LangChain?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Lan mooy xalaat bu mag bi ci ginaaw LangChain?
- Defar ak defar aplikaasioŋ yu bari yu LLM
- Taggat xeetu làkk yu mag ci noonu
- GPU yiy dalal ngir model inference
- Defar nataal ci laaj mbind
- Kan moo defar LangChain ak kañ?
- Sam Altman ci 2020
- Harrison Chase ci 2022
- lukas biewald ci 2017
- Jerry liu ci 2023
- Lan lañuy jëfandikoo LangGraph ci biir ekosistem LangChain?
- Desine diagram yu metrics de formation
- kompresse ay laaj ngir denc ay jeton
- Tabax ay def-liggéeyu ndawu liggéey yuñ mëna saytu ci anamu graafik
- Soppi kode ci diggante làkki prograam
- Lan mooy wareefu LangSmith?
- Defar ay done yuñ defar
- Serwiis xëti web
- Enkripte caabi API
- Topp, debug, ak jàngat aplikaasioŋu LLM
- Ci LangChain, lan lay laaj ci syntax pipe bi | model | parser' dafay wane?
- Defar ay komponent jaaraleko ci interfaasu Runnable buñ bokk
- Komànd shell ngir doxal script yi
- ab laaj ci base de done
- Benn anam ngir efaase chaine
- What happens when a LangGraph node invokes interrupt() with a checkpointer configured?
- The graph discards its state and restarts training
- The graph pauses with state saved, then can resume after external input
- The graph converts the interrupt into a stateless chain
- The graph changes the base model weights
- What kind of evaluation does LangSmith describe as monitoring application traces in production?
- Offline evaluation on a fixed pre-deployment dataset only
- A test that fine-tunes the application’s foundation model
- Online evaluation that checks selected production runs for quality signals
- An evaluation that reports only GPU training throughput
- What does an offline LangSmith evaluation test?
- Only GPU utilization during model training
- Every production user response with no reference examples
- A guarantee of correctness on unseen inputs
- An application against a curated dataset before deployment