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ElevenLabs announces agent fine-tuning, Interaction Engine, and ElevenAI assistant

AIElevenLabs announced at its NYC summit that enterprises will be able to fine-tune its Text to Speech and Speech to Text models, as well as open-source LLMs, on their own data in the coming months. It also unveiled the Interaction Engine, which routes simple requests to less expensive models and complex ones like refunds to frontier models, and ElevenAI, a work assistant that dictates into any app, takes meeting notes, and provides live call assistance.
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Today at ElevenLabs Summit NYC, we shared what we’re building next for agents. Here’s what we announced:

Fine-tuning: In the coming months, enterprises can work with our team to continually fine-tune our Text to Speech and Speech to Text models, as well as open-source LLMs, on their own data.

Interaction Engine: A new system that picks the right LLM for each moment of a conversation. It uses less expensive models for simple requests and frontier models for complex ones like refunds, so you get the right outcome without overspending on tokens.

Memory in ElevenAgents: Agents remember what gets mentioned in passing, so businesses can act on it.

Routines in ElevenAgents: Agents can now run operations before and after conversations, like pre-screening a mortgage applicant and calling them back, or texting about a confusing bill before it turns into a dispute.

ElevenAI: A new AI assistant for work that lets you dictate into any app, takes meeting notes, passes context between agents and people, and provides live assistance during calls.

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Original title: Today at ElevenLabs Summit NYC, we shared what we’re building next for agents. Here’s what we announced: