Terryl Diki
February 4, 2025 10:23
See how the Felix SU of Scale AI builds a successful enterprise -rating AI system.
According to Elevenlabs, creating a successful enterprise -rating AI system requires more than a state -of -the -art technology. Felix Su, the head of the Genai platform engineering, emphasizes the need to integrate the correct architecture and control so that the AI system can comply with business logic, brand guidelines and safety principles.
Power of separation: Why architecture is important
In the voice AI area with conversations, developers can choose from the assembly of components such as multiple modals, voice-laid-up voice models, or ASR (automatic voice recognition), LLM (large language model) and TTS (text-speech). . ). SU said that in companies with certain requirements, the latter approach is often more effective.
“In the corporate environment, AI often cannot be performed only by LLM,” SU explains. He emphasizes the importance of the complex system design operated in strict guidelines and maintains the brand image. Such systems often need to implement custom guard rails on the LLM to better control input and output.
Time experience of the year
The recent release of Time AI allows readers to participate in the conversation dialogue on Time’s journalism, including the symbolic people of the year. This implementation is noticeable due to the use of voice technology, and SU thinks that it adds a unique and attractive element to the user experience.
Using the AI development expertise of Scale AI and the interactive AI platform of Elevenlabs, the system provides the same interaction as humans while maintaining strict control of content and brand voice.
Corporate preparation system construction
For companies that want to deploy cooperation with Scale AI and Elevenlabs, present executable solutions. Scale AI specializes in creating a controlled and safe multimodal AI system, and Elevenlabs provides excellent voice technology for perfect integration.
The implementation of the time focuses on journalism, but the basic architecture is especially applied in various sectors to improve customer service and support. Customers are getting more attractive and demanding interactions as humans, so they are beyond the default chatbot function.
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