AI agents for concierge customer experiences
San Francisco
Joined January 2024
- Tweets722
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For the first time, you can try our voice agent right on our website.
Give it a call and hear the difference for yourself: decagon.ai/product/voice#dem…
Decagon retweeted
So excited to announce Alto, our newest voice model. Alto is fast, natural and smart. It responds in under 700ms and can guide users through the most complex workflows. Customers can no longer distinguish Alto from human agents.
Shoutout to the team at Decagon Labs.
Decagon retweeted
I'm excited to share that I'll be speaking at #SGLangSummit this week!
I'll be sharing our work on speculative decoding at @DecagonAI, including when to choose EAGLE vs. DFlash, the latency-throughput tradeoffs, and where we're headed next.
See you there!
Decagon retweeted
Devin can do more than ship PRs. @DecagonAI used it to run an inference research lab.
One Devin orchestrates, subagents chase competing hypotheses in parallel, and every idea is tested against replayed production traffic on @modal GPUs. The result was up to 2.5× more throughput per GPU.
Decagon retweeted
Great seeing Devin used to improve inference efficiency, this is something that normally takes many engineers but using Devin to keep looping for improvements is likely how things will be done going forward
Decagon retweeted
I'm hosting a voice/audio research night with @DecagonAI and @Accel on Nov 9. @nishnik from Meta Superintelligence Labs, @chongz from Cartesia, and I are each giving a quick talk then it’s just hanging out with other speech people
if you work on voice in SF come through!
luma.com/j3ddfdsw
Decagon retweeted
Next up on First Pass: A conversation with @EveraertDante, a voice AI researcher at @DecagonAI on Duplex Models
LLMs are turn based. Duplex Models are constantly "listening" streaming audio in and out simultaneously.
Decagon retweeted
Had a blast talking with @jaminball and @palak_go on First Pass about why transcription shouldn’t be on the critical path for voice agents, and what it actually takes to go audio-native. Thanks for having me!
Next up on First Pass: A conversation with @EveraertDante, a voice AI researcher at @DecagonAI on Duplex Models
LLMs are turn based. Duplex Models are constantly "listening" streaming audio in and out simultaneously.
Decagon retweeted
marketing team advised that I shitpost less and try to provide some real value to the world, so here's what I've been working on recently!
Decagon retweeted
i'll be speaking at sglang summit in SF, nov 12-13!
going to walk through the post-training and inference work we’ve been doing at Decagon, and how we scaled out our RL training pipelines to ~1T param models
if you’re going, let’s say hi! sglang.io/summit @sgl_project
