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ElevenLabs has introduced a new feature allowing users to create conversational AI agents on its developer platform. This platform offers customizable options such as tone of voice and response length, enhancing user interaction. The company aims to streamline the integration of knowledge bases and manage customer interruptions effectively.
Users can start building their conversational agents by selecting templates or creating new projects, with options to customize various parameters. ElevenLabs is also developing speech-to-text capabilities to complement its existing text-to-speech services, positioning itself as a competitor to major players like Google and Microsoft.
• ElevenLabs enables users to build customizable conversational AI agents.
• The platform supports integration of custom knowledge bases for enhanced interactions.
Conversational AI refers to technologies that enable machines to engage in human-like dialogue, enhancing user experience.
Text-to-Speech technology converts written text into spoken words, facilitating communication through voice.
Large Language Models are advanced AI systems that understand and generate human language, crucial for conversational agents.
ElevenLabs specializes in AI voice cloning and text-to-speech technologies, recently expanding into conversational AI development.
OpenAI is known for its advanced AI models, including those for real-time conversational applications, competing with ElevenLabs.
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