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Survey Together AI의 모델 API, 호환 가능한 클라이언트 인터페이스, 연구 프로젝트, GPU 인프라 및 배포별 데이터 제어.
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How should Together AI’s hosted model catalog be described?
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- How should Together AI’s hosted model catalog be described?
- It includes open-weight models, with access and terms depending on the specific model
- Every model is open source under one license
- Every checkpoint has identical weights and terms
- The service only hosts models built by Together
- What is RedPajama in Together AI’s project history?
- RedPajama is the name of Together’s OpenAI-compatible chat endpoint
- RedPajama is Together’s open-data project; its Data-v2 release is a dataset, separate from hosted inference models.
- RedPajama is the hardware interconnect used in GPU clusters
- RedPajama is a privacy mode that deletes account credentials
- What does “OpenAI-compatible” mean for a Together API integration?
- Every OpenAI endpoint and parameter works identically
- No API key or base URL is needed
- Supported endpoints accept compatible request shapes, but model IDs and endpoint features still need checking
- A model swap guarantees identical outputs
- Which inference technique does Together discuss for high-throughput long-context inference?
- Quantization and continuous batching in every deployment
- A fixed text template
- A beam search that does not use model predictions
- 추측적 디코딩
- What should an enterprise verify before sending prompts or files to a hosted model service?
- The specific service’s data-retention, training, and deployment settings and terms
- That open model weights automatically make all data private
- That an OpenAI-compatible API guarantees identical data handling
- That model customization removes the need to review privacy settings
- 서버리스 API 외에 Together는 대규모 교육 작업을 위해 어떤 인프라를 제공합니까?
- 무료 무제한 양자 컴퓨터
- 빠른 상호 연결을 갖춘 임대 GPU 클러스터
- 모델 중량용 프린터
- 단일 노트북만 가능
- What does Together AI describe its Zero Data Retention setting as doing?
- Deleting all account and billing data immediately
- Guaranteeing that every third-party model has identical data policies
- Disabling retention and secondary use of submitted content and outputs, except as needed to process the request
- Turning off logging for all infrastructure operations
- What did Together’s RedPajama-Data-v2 announcement report about the dataset?
- A 30-billion-parameter language model trained only on code
- A benchmark of GPU cluster latency
- A dataset containing only generated audio
- A 30-trillion-token filtered and deduplicated web dataset with quality annotations