Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Moshi Full-Duplex Ọrọ adanwo

Checks Moshi’s full-duplex audio streams, Mimi codec, direct speech-to-speech design, latency target and inner-monologue method.

Jẹmọ itọsọna awọn ọnaMoshi Full Duplex Ọrọ
Ibeere 1 ti 8

Kini 'duplex kikun' tumọ si ni ọrọ ti Moshi?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Kini 'duplex kikun' tumọ si ni ọrọ ti Moshi?
    • O le gbọ ati sọrọ ni akoko kanna
    • O ṣiṣẹ nikan ni awọn ede meji
    • O nilo awọn microphones meji
    • O ṣe ilọpo meji iwọn didun ohun
  2. Ẹgbẹ wo ni o tu Moshi silẹ?
    • OpenAI
    • Kyutai
    • Google DeepMind
    • Meta
  3. Kini Mimi ninu eto Moshi?
    • A search engine
    • A eya Rendering
    • Kodẹki ohun nkankikan ti o yi ọrọ pada si awọn ami iyasọtọ
    • API itumọ ọrọ kan
  4. Bawo ni Moshi ṣe yatọ si opo gigun ti oluranlọwọ ohun ibile?
    • O ṣe agbejade ọrọ nikan
    • Ko nilo awoṣe rara
    • O ṣiṣẹ offline nikan laisi AI
    • O ṣe ilana ohun taara dipo titọ STT, LLM kan, ati TTS
  5. Ni aijọju kini airi ibaraẹnisọrọ wo ni Moshi fojusi?
    • Ni ayika 160-200 millise seconds
    • Nipa 2-3 aaya
    • Nipa iṣẹju 10
    • Gangan 1 iseju
  6. Kini idi ọna 'Moshi's Inner Monologue'?
    • Lati tọju ibaraẹnisọrọ naa lati ọdọ awọn olumulo
    • Lati ṣe asọtẹlẹ ọrọ ṣaaju ohun, imudarasi didara ede
    • Lati tumọ ohun gbogbo si Faranse
    • Lati compress fidio
  7. Mimi encodes audio at 12.5 discrete frames per second. About how far apart are consecutive frames?
    • About 8 milliseconds
    • About 800 milliseconds
    • About 80 milliseconds
    • About 1 second
  8. Which two synchronized streams does Moshi model in parallel?
    • Two unrelated text transcripts
    • The user’s video and the system’s screen
    • Two copies of the same language-model weights
    • The user’s incoming audio and the system’s own outgoing audio