Reka AI 다중 모달 모델 퀴즈

퀴즈를 풀면 정답과 설명이 나타납니다.

1. Reka의 2024년 Core, Flash 및 Edge 기술 보고서에서는 어떤 입력 유형을 설명했습니까?
   • Text, images, video, and audio
   • Only text and spreadsheet cells
   • Only still images
   • Audio and source code but no visual input
2. Reka는 자사의 Vision 시스템이 비디오 및 이미지 콘텐츠로 무엇을 할 수 있다고 말합니까?
   • Compile it into executable code
   • Search, interpret, and reason across the content
   • Guarantee that every event is detected correctly
   • Convert it only into a spreadsheet
3. 엣지 배포를 위한 개방형 7B 비전 언어 모델로 설명되는 Reka 모델은 무엇입니까?
   • Reka Core
   • Reka Vision
   • Reka Edge
   • Reka Flash
4. Reka의 2024년 기술 보고서에는 해당 모델을 배포하는 방법에 대해 무엇이라고 나와 있나요?
   • They could only run in a public cloud
   • They were limited to a browser extension
   • They could only run on an audio recorder
   • It described deployment flexibility, including on-premises or on-device options
5. Reka의 현재 API 모델 목록 엔드포인트는 무엇을 반환하나요?
   • The model IDs available to the authenticated user
   • A guaranteed list of every model ever released
   • Training data for each model
   • Only benchmark rankings
6. How should readers interpret Reka’s published model performance comparisons?
   • As guarantees for every device and workload
   • As results tied to the evaluated models, tasks, and test conditions
   • As proof that every model is equally capable
   • As a substitute for checking current model documentation
7. How did Reka’s 2025 visual-language model description handle video frames?
   • It converted the whole video into one audio waveform
   • It processed only the file name and ignored the frames
   • It sampled frames and combined their visual features with text and audio features
   • It replaced all video input with handwritten labels
8. What factors does Reka say affect actual latency and memory use for an Edge deployment?
   • Only the model’s marketing name
   • The color space of the input photo
   • The number of API users in an unrelated account
   • The model, runtime, and device