ElevenLabs 计划让客户用自己的数据微调语音模型
Most enterprise AI solutions handle every customer interaction the same way. On @SquawkCNBC, @mati s...
ElevenLabs 的 CEO 在 CNBC 上说了他们的下一步：客户可以拿自己的业务数据来微调语音模型，越用越贴合自家业务。做客服语音代理或企业语音产品的团队可以关注这个方向，这和通用模型的打法不太一样。
ElevenLabs CEO Mati Staniszewski 在 CNBC Squawk 节目上表示，企业客户未来将能用自有数据对模型进行 fine-tune 和训练。
目前的多数企业级 AI 方案对所有客户交互采用同一套模型处理，没有针对具体业务的适配。ElevenLabs 的思路是让每次客户交互产生的数据反哺模型，形成基于交互数据的持续优势。
这一方向面向客服语音、语音代理等企业场景，把模型能力与客户自身业务数据绑定。
Most enterprise AI solutions handle every customer interaction the same way. On @SquawkCNBC, @mati s...
Most enterprise AI solutions handle every customer interaction the same way. On @SquawkCNBC , @mati shared what’s next for ElevenLabs: “Customers will be able to fine-tune and train the models with their own data, and extend their advantage based on every interaction.”
This report is categorized under AITOP's "Products" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include ElevenLabs, speech synthesis, fine-tuning, enterprise AI.
Source attribution: curated from ElevenLabs (@elevenlabsio).
