概述
It supports open models and documents an OpenAI-compatible API, but API shape, model availability, service features, privacy settings, and licenses can vary.
深入探讨
Together AI offers inference APIs, fine-tuning, and GPU-cluster services. Its OpenAI-compatibility documentation describes supported SDK methods and lists unsupported or partially supported endpoints, so compatibility is not necessarily complete. The company helped release RedPajama datasets; the Data-v2 announcement describes a filtered and deduplicated 30-trillion-token corpus with quality annotations. Together documents speculative decoding and other inference optimizations, but speed depends on model, workload, hardware, and service configuration. Its privacy policy states that it does not use user data to train models without explicit opt-in and describes a Zero Data Retention setting for prompts and responses; review current product settings and terms for the chosen service. RedPajama is a separate open-data project associated with Together; RedPajama-Data-v2 is a dataset release, while Together’s hosted inference APIs are a different service.
现实世界的实施
Point a compatible client at Together’s documented base URL after checking endpoint and parameter compatibility.
Compare serverless inference, dedicated model inference, and GPU clusters for a specific workload.
Review the privacy settings and terms before submitting prompts, files, or fine-tuning data.
Consult the RedPajama dataset documentation when evaluating its research data rather than assuming it is a hosted model.
共同人工智能的未来
Together’s model catalog, GPU hardware, pricing, and API support change over time. Check current documentation and terms before selecting a model or deployment; evaluate compatibility, data handling, latency, and cost for the intended workload.
付诸实践
为什么这很重要
- 供应商策略. 供应商路线图会影响您的团队接下来可以构建的功能。
- 成本与预算. 商业条款和部署选项会影响长期成本和风险。
- 风险与安全. 公司激励措施塑造了产品默认、安全态势和开放性。
留意
- 发布公告可能会超过实际生产工作流程的稳定性。
- API 定价或政策转变可能会在一夜之间打破假设。
- 单一供应商依赖性增加了锁定和迁移成本。
后续步骤
- 使用您自己的任务和数据集评估提供商。
- 在集成之前查看隐私、安全和法律条款。
- 维护跨模型或供应商的后备计划。
- 监控发行说明，以便路线图的更改不会让团队感到意外。
不断探索
常见问题
什么是Together AI？
Together AI offers cloud services for inference, fine-tuning, training, and GPU infrastructure for AI models. It supports open models and documents an OpenAI-compatible API, but API shape, model availability, service features, privacy settings, and licenses can vary.
应该如何描述 Together AI 的托管模型目录？
Together hosts open-weight models, but openness and license terms are specific to each checkpoint and do not make every model open source under the same terms.
RedPajama 在 Together AI 的项目历史中是什么？
Together describes RedPajama as its open-data effort and separately announces releases such as RedPajama-Data-v2. That project identity is distinct from the hosted inference API.
对于 Together API 集成，“OpenAI 兼容”意味着什么？
Together documents compatibility for supported endpoint and request formats; users still need to verify the base URL, model ID, endpoint, and parameter support.
Together 讨论了哪种用于高吞吐量长上下文推理的推理技术？
Together’s speculative-decoding article discusses that technique for inference throughput; observed performance depends on the model, workload, and serving setup.
企业在向托管模型服务发送提示词或文件之前应该验证什么？
Open-weight access and API compatibility do not by themselves determine data handling. Together documents privacy settings, retention options, and service-specific terms that users should review.