Guide-yakabatana mibvunzo · Pakati Nhanho

ChatGPT & LLMs Mibvunzo

Ongorora chizvarwa chinotevera-chiratidzo, tokeni, chatbot maringe nemuenzaniso, kudzidziswa maringe nekutora, uye nei mhinduro dzakatsetseka uye zvinyorwa zvichiri kuda macheki ekwakabva.

Nzira dzekutungamira dzinoenderanaChatGPT neLLMs
Mubvunzo 1 ye 8

Ndechipi chinangwa chekudzidzisa chinowanzoitwa autoregressive mutauro modhi?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ndechipi chinangwa chekudzidzisa chinowanzoitwa autoregressive mutauro modhi?
    • Tarisa mhinduro dzese mudura rehupenyu rakasimbiswa
    • Fanofanotaura chiratidzo chinotevera kubva pane zvapfuura
    • Rongedza mutsara wega wega sewechokwadi kana nhema
    • Shandura zvese zvinoiswa mukodhi yekombuta
  2. Muenzaniso wemutauro unogona kupatsanura izwi rimwe kuita zvikamu zvakawanda zvekugadzirisa. Ndezvipi zvikamu izvozvo?
    • Complete conversation turns
    • Tokens, which need not correspond to whole words
    • Final verified answers
    • Database records returned by retrieval
  3. Ko chatbot inodyidzana sei neLLM?
    • A chatbot is an application that may combine a model with instructions, retrieval, tools, and an interface
    • A chatbot is always identical to one model
    • An LLM is the visual window in which a conversation appears
    • A chatbot is only a search index
  4. Ndechipi chirevo chinosiyanisa kudzidziswa kubva mukukurudzira uye kudzoreredza?
    • A prompt necessarily changes model weights
    • Retrieval permanently modifies the model
    • A tool call is the same as a training epoch
    • Training adjusts parameters, while a prompt supplies current context and retrieval provides selected sources
  5. Ko kugovera masosi kunobvisa kuona zvisingaoneki?
    • Yes, because every retrieved passage is always followed exactly
    • Yes, as long as the source is public
    • No; a model can misread, ignore, or miscite supplied evidence
    • No; retrieval prevents all useful answers
  6. What is a reliable way to check a factual claim with a citation?
    • Trust it if the title appears plausible
    • Open the cited source and confirm it supports the claim
    • Ask the same model whether the citation is real
    • Check only whether the URL loads
  7. A note says a workshop starts at 10:00 and registration closes Friday. What time does the workshop end?
    • The note does not state an ending time
    • 11:00
    • Noon
    • The time the chatbot was opened
  8. What does the original Transformer paper establish about every commercial chatbot?
    • That all products use an identical implementation
    • That every chatbot uses the same training data
    • That all models have the same context limit
    • It describes an architecture, but does not establish every product’s implementation details