Maswali ya Upachikaji wa Hati ya HyDE

Majibu na maelezo huonekana unapojibu maswali.

1. HyDE inazalisha nini kabla ya kufanya urejeshaji?
   • Swali la SQL
   • Orodha ya visawe pekee
   • Picha iliyobanwa ya swali
   • Hati dhahania ambayo ingejibu swali
2. What is the intended role of the encoder bottleneck when HyDE's hypothetical document contains invented details?
   • Retain useful retrieval patterns while reducing some irrelevant specifics, without guaranteeing error removal
   • Prove every generated sentence is factually correct
   • Manually repair every fabricated claim before encoding
   • Make fabricated details incapable of influencing any search result
3. Faida kuu ya vitendo ya HyDE ni kwamba inafanya kazi:
   • Na mamilioni ya mifano iliyo na lebo pekee
   • Kwa maandishi ya Kiingereza pekee
   • Sifuri, bila data ya mafunzo ya umuhimu iliyo na lebo
   • Kwa utafutaji wa picha pekee
4. Ni aina gani ya modeli ya kupachika inatumika katika HyDE asili kusimba hati dhahania?
   • Kiainishi cha hoja kinachosimamiwa
   • Kisimba tofauti kisichodhibitiwa kama vile Contriever
   • Kichunaji cha maneno msingi kulingana na sheria
   • Mtandao wa picha wa kushawishi
5. Ni shida gani ya msingi katika urejeshaji mnene ambayo HyDE imeundwa kushughulikia?
   • Maswali mafupi na vifungu vya majibu marefu mara nyingi hukaa katika maeneo tofauti ya nafasi ya kupachika
   • Hati ni fupi mno kuorodhesha
   • Faharasa zilizogeuzwa ni polepole sana
   • Upachikaji hauwezi kuhifadhiwa kwenye diski
6. How can a HyDE variant combine several generated hypothetical documents into one search representation?
   • Declare all generated claims to be verified facts
   • Delete the encoder and search only by file size
   • Require every generated document to be a real corpus passage
   • Average their encoded vectors before searching the real corpus
7. Which text should support a factual answer after HyDE retrieval?
   • The generated hypothetical document because generation verifies it
   • Relevant real source passages that have been checked, rather than the hypothetical document alone
   • Only the nearest vector's numeric coordinates
   • Any invented detail repeated by several generated samples
8. What extra retrieval cost can HyDE introduce compared with directly embedding a user's query?
   • Mandatory relevance-label collection for every query
   • A requirement to retrain Contriever for each search
   • The latency and computation of generating one or more hypothetical documents
   • Elimination of all encoder and index computation