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Lindsey Allen Profile
Lindsey Allen

@herdcats

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Following
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Statuses
3K

CPO, https://t.co/6u3RyAqIkb

Santa Clara, CA
Joined April 2011
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@herdcats
Lindsey Allen
5 months
Innovation and high quality speaks for itself, @boson_ai #higgsaudio v2 is a big hit! treading on top 5 on @huggingface this week.
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@boson_ai
BosonAI
3 months
check out higgsExpress audiobook by James Yap and team
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@herdcats
Lindsey Allen
4 months
amazing work
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@boson_ai
BosonAI
5 months
https://t.co/dbWW0goowh Higgs-audio whipped up something relaxing —a fully AI-generated track with lyrics, beat, and chorus all in one, zero-shot.
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@smolix
Alex Smola
6 months
Boson AI's new audio generation model is out: emotionally expressive voice, long form audio, multi-speaker cloning, directable audio (e.g. music, laughter), trained on 10M+ hours of audio, and best of all, open source. https://t.co/fvRBRmhorA - @boson_ai @sxjscience @mli65
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@boson_ai
BosonAI
6 months
3/3 HiggsAudiov2 adopts Dual-FFN architecture that is capable of handling text and audio tokens jointly. Higgs Audio v2 has achieved state-of-art performance, beats “gpt‑4o‑mini‑tts” with 75.7% win rate on “Emotions” and 55.7 % on “Questions” in EmergentTTS‑Eval.
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@boson_ai
BosonAI
6 months
Multi-speaker conversations can be tricky for AI models. #HiggsAudio makes it easy. #HiggsAudio v2 supports end2end voice clone and generation, see live #HiggsAudio translating and cloning simultaneously https://t.co/OVev0TjXGd. #HiggsAudio inference can run on a Jetson Orin Nano
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@boson_ai
BosonAI
6 months
2/3 #HiggsAudiov2 is trained on a massive corpus of over 10M hours of high-quality audio data, annotated using BosonAI’s #ASR, and #LLM models. on #Github: https://t.co/heRUuNsqbd + on #HuggingFace https://t.co/80Nf8knrNy).
Tweet card summary image
huggingface.co
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@boson_ai
BosonAI
6 months
1/3 We are excited to announce our opensource release of #BosonAI #HiggsAudio v2 ( https://t.co/3uKdowy89d), a SToA multimodal LLM for audio generation. #HiggsAudio v2 is the first OSS large audio model excels at multi-speakers cloning, emotionally competent voice generation.
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@herdcats
Lindsey Allen
10 months
Good explanation of MCP
@akshay_pachaar
Akshay 🚀
10 months
Model Context Protocol (MCP), clearly explained:
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@minchoi
Min Choi
10 months
MCP is going crazy viral right now🤯 AI apps can now instantly connect to any tool or live data. USB-C moment for AI. 10 wild examples: https://t.co/qLnMkgBA0H
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@dani_avila7
Daniel San
11 months
Deepseek running locally and privately for autocompletion in VSCode! 🙌 In less than a minute, I'll show you how to download Deepseek-coder and set it as the autocompletion model in VSCode. You’ll need to use @ollama to download the model and CodeGPT to select it as the
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@AndrewYNg
Andrew Ng
11 months
Today's "DeepSeek selloff" in the stock market -- attributed to DeepSeek V3/R1 disrupting the tech ecosystem -- is another sign that the application layer is a great place to be. The foundation model layer being hyper-competitive is great for people building applications.
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@JulianGoldieSEO
Julian Goldie SEO
11 months
Build anything with DeepSeek-R1, here's how...
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@AlphaSenseInc
AlphaSense
1 year
Former Databricks employee shares his view on the company, $SNOW, and the relationship with hyperscalers like $AMZN, $MSFT, and $GOOGL: - One of the weaknesses in his view that Databricks has is that it does not do well when it comes to selling high, so selling to CEOs and CIOs.
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@herdcats
Lindsey Allen
1 year
Simple Talks at the PASS Summit https://t.co/wPRwRGFc9U
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@herdcats
Lindsey Allen
1 year
Rounding Numbers https://t.co/Gjs40cPdWg
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@herdcats
Lindsey Allen
1 year
Boosting Database Development Efficiency Using AI SQL Code Generators https://t.co/J5XVzCe99b
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@herdcats
Lindsey Allen
1 year
Infinity Notebook Loop in Fabric using Data Activator https://t.co/nFyG660Sgz
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@herdcats
Lindsey Allen
1 year
How To Use Managed Identities in your Azure Logic Apps https://t.co/X38VA0nHs6
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