Kedis ku xidhan hagaha · Dhexdhexaad Heerka
LangChain Kedis
Sahami ka kooban LangChain, LangGraph socodka kontoroolka dawladeed, carqaladaynta aadanaha, iyo qiimaynta LangSmith ee codsiyada LLM.
Su'aal 1 ee 8
Waa maxay fikradda dhexe ee ka dambeysa LangChain?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Waa maxay fikradda dhexe ee ka dambeysa LangChain?
- Abuuritaanka iyo habaynta codsiyada LLM-talaabooyin badan leh
- Tababarka moodooyinka luqadaha waaweyn ee xoqan
- Martigelinta GPU-yada tusmada moodeelka
- Ka soo saarida sawirada kicinta qoraalka
- Yaa abuuray LangChain iyo qiyaas ahaan goorma?
- Sam Altman sanadka 2020
- Harrison Chase dabayaaqadii 2022
- Lukas Biewald sanadkii 2017
- Jerry Liu sanadka 2023
- Waa maxay LangGraph loo isticmaalo gudaha nidaamka deegaanka ee LangChain?
- Sawiridda jaantusyada cabbirrada tababarka
- Cadaadiska kicinta si loo badbaadiyo calaamadaha
- Dhisidda hawl-socod dawladeed, wakiil la kontarooli karo sida garaaf ahaan
- U beddelashada koodka u dhexeeya luqadaha barnaamijka
- Waa maxay doorka koowaad ee LangSmith?
- Soo saarista xog-ururinta synthetic
- U adeegida bogagga shabakadda
- Sirinta furayaasha API
- Baafinta, qaladka, iyo qiimaynta codsiyada LLM
- LangChain gudaheeda, waa maxay macnaha tuubbada 'soo degdegaya | model | parser' ma matalaa?
- Abuuritaanka qaybaha iyada oo loo marayo interface-ka Runnable la wadaago
- Amarka qolof ee socodsiinta qoraallada
- Weydiinta keydka macluumaadka
- Habka loo tirtiro silsiladaha
- 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