Guide-yakabatana mibvunzo · Pakati Nhanho

LangChain Mibvunzo

Ongorora kuumbwa kweLangChain, LangGraph stateful control kuyerera, kukanganisa kwevanhu, uye LangSmith ongororo yeLLM maapplication.

Nzira dzekutungamira dzinoenderanaLangchain
Mubvunzo 1 ye 8

Ndeipi pfungwa yepakati kumashure kweLangChain?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ndeipi pfungwa yepakati kumashure kweLangChain?
    • Kugadzira uye kuronga akawanda-nhanho LLM-powered application
    • Kudzidzira mhando dzemitauro mikuru kubva pakutanga
    • Kubata maGPU emuenzaniso inference
    • Kugadzira mifananidzo kubva kumashoko ekurudziro
  2. Ndiani akasika LangChain uye rinhi?
    • Sam Altman muna 2020
    • Harrison Chase mukupera kwa2022
    • Lukas Biewald muna 2017
    • Jerry Liu muna 2023
  3. Chii chinonzi LangGraph chinoshandiswa mukati meLangChain ecosystem?
    • Kudhirowa machati ekudzidziswa metrics
    • Kudzvanya zvinokurudzira kuchengetedza tokeni
    • Kuvaka inonzwika, inodzoreka mumiriri inoyerera senge magirafu
    • Kushandura kodhi pakati pemitauro yepurogiramu
  4. Ndeipi basa rekutanga reLangSmith?
    • Kugadzira datasets dzekugadzira
    • Kupa mapeji ewebhu
    • Encrypting API keys
    • Kutsvaga, kugadzirisa, uye kuongorora LLM zvikumbiro
  5. MuLangChain, chii chinonzi pombi syntax 'prompt | muenzaniso | parser' anomiririra?
    • Kugadzira zvikamu kuburikidza neyakagovaniswa Runnable interface
    • A shell command yekushanda zvinyorwa
    • Mubvunzo we database
    • Nzira yekudzima maketani
  6. 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
  7. 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
  8. 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