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This is a research preview. It requires more prompt engineering than previous models - but the generations are breathtaking. We’ll continue fine-tuning to improve reliability and control.

ElevenLabs

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40,483 görüntüleme • 1 yıl önce •via X (Twitter)

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Introducing Eleven v3 (alpha) - the most expressive Text to Speech model ever. Supporting 70+ languages, multi-speaker dialogue, and audio tags such as [excited], [sighs], [laughing], and [whispers]. Now in public alpha and 80% off in June.

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The new architecture of Eleven v3 deeply understands text - delivering much greater expressiveness. And now you can guide generations more directly using audio tags: - Emotions [sad] [angry] [happily] - Delivery direction [whispers] [shouts] - Non-verbal reactions [laughs] [clears throat] [sighs]

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Generate multi-speaker dialogue that sounds like a real conversation. Eleven v3 handles interruptions, shifts in tone, and emotional cues based on conversational context.

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Public API for Eleven v3 (alpha) is coming soon. For early access, please contact sales. We are working on the real-time version of v3. For real-time and conversational use cases, we recommend staying with v2.5 Turbo or Flash for now.

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Built for creators and developers building media tools. If you’re working on videos, audiobooks, or media tools - v3 unlocks a new level of expressiveness. Learn how to get the most out of it with our prompting guide:

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Eleven v3 (alpha) is available now: It’s 80% off during June. Try it out - and share your best generations with us.

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Unveiling the Future of Prompt Engineering for Better AI Interactions #tech

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what voice id is this one? its perfect for what i'm working on

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Here’s an early preview of ElevenLabs Music. All of the songs in this thread were generated from a single text prompt with no edits. Title: It Started to Sing Style: “Pop pop-rock, country, top charts song.”

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Many people are flat wrong about DeepSeek. You might think everyone freaked out about DeepSeek because the model is really good—which it is—or because it was from China, which is also true. But there's a more subtle reason: DeepSeek showed they could achieve those results using reinforcement learning instead of supervised fine-tuning. In other words, they didn't need an expensive phase where a bunch of people tuned the model by answering questions. They were able to do all of this faster and cheaper using reinforcement fine-tuning. This is a huge deal! I recorded the attached video with the following goals in mind: 1. Explain how reinforcement fine-tuning works 2. Show you how you can fine-tune your own models 3. Walk you through a complete code example

Many people are flat wrong about DeepSeek. You might think everyone freaked out about DeepSeek because the model is really good—which it is—or because it was from China, which is also true. But there's a more subtle reason: DeepSeek showed they could achieve those results using reinforcement learning instead of supervised fine-tuning. In other words, they didn't need an expensive phase where a bunch of people tuned the model by answering questions. They were able to do all of this faster and cheaper using reinforcement fine-tuning. This is a huge deal! I recorded the attached video with the following goals in mind: 1. Explain how reinforcement fine-tuning works 2. Show you how you can fine-tune your own models 3. Walk you through a complete code example

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We're thrilled to be launching Tilde. We're applying interpretability to unlock deep reasoning and control of models, enabling the next generation of human-AI interaction. By understanding a model's inner mechanisms, we can enhance both its reliability and performance—going beyond what's possible with traditional techniques like fine-tuning alone. Check out what Tilde can do.

We're thrilled to be launching Tilde. We're applying interpretability to unlock deep reasoning and control of models, enabling the next generation of human-AI interaction. By understanding a model's inner mechanisms, we can enhance both its reliability and performance—going beyond what's possible with traditional techniques like fine-tuning alone. Check out what Tilde can do.

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