Robert McHardy @robert_mchardy
Senior Researcher @AssemblyAI | Freelance editor @ComputerBase | Prev. RE @instadeepai, MSc ML @ucl, @ucl_dark, BSc NLP @Uni_Stuttgart, Intern @Bosch_AI robertmchardy.de London, UK Joined December 2009-
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Very excited to share our pre-print on how we (@AssemblyAI) built our new multilingual speech-to-text model, Universal-1, by massively scaling unsupervised and supervised data to many millions of hours of audio. Check out the pre-print for more details: arxiv.org/abs/2404.09841
Universal-1 isn't just the most accurate speech-to-text model, it is also the fastest. 🔥
Universal-1 isn't just the most accurate speech-to-text model, it is also the fastest. 🔥
Epic to see @AssemblyAI on Nasdaq's Times Square billboard 🔥 assemblyai.com/blog/announcin…
Super excited to share Universal-1, our new SOTA multilingual automatic speech recognition model - trained in Jax 🚀!
Super excited to share Universal-1, our new SOTA multilingual automatic speech recognition model - trained in Jax 🚀!
Happy "deep learning is hitting a wall" day to those who celebrate 🎉🥂
Introducing 🌈 Rainbow Teaming, a new method for generating diverse adversarial prompts for LLMs via LLMs It's a versatile tool 🛠️ for diagnosing model vulnerabilities across domains and creating data to enhance robustness & safety 🦺 Co-lead w/ @sharathraparthy & @_andreilupu
As we have recently passed 100 cirations, it's a good time to say how amazing it has been to see how well the community has received this work. Very grateful for all the great feedback and comments we got. If you haven't read the paper yet, check it out! arxiv.org/abs/2307.10169
As we have recently passed 100 cirations, it's a good time to say how amazing it has been to see how well the community has received this work. Very grateful for all the great feedback and comments we got. If you haven't read the paper yet, check it out! arxiv.org/abs/2307.10169
We're excited to announce significant speed improvements to our inference pipeline! With just a few lines of code, you can transcribe: ⚡️1h3min (75MB) meeting in 35 seconds ⚡️3h15min (191MB) podcast in 133 seconds ⚡️8h21min (464MB) video course in 300 seconds We're also rolling…
The single most effective productivity hack
The single most effective productivity hack
With @NeurIPSConf coming up, I'm happy to share our @workshopmlsb paper in which we tackle high throughput full-atom peptide-MHC structure prediction from amino acid sequences using a lightweight GNN/CNN-based network. 📜: t.ly/mmw1z
Super excited to share @AssemblyAI has raised a 50M USD series C led by Accel to accelerate our mission to build superhuman speech AI models. 🚀 I have had an incredible few months here working on our upcoming flagship model and can't wait to share more news on this soon.
Super excited to share @AssemblyAI has raised a 50M USD series C led by Accel to accelerate our mission to build superhuman speech AI models. 🚀 I have had an incredible few months here working on our upcoming flagship model and can't wait to share more news on this soon.
The field used to be 30 years behind Jürgen's ideas, now we have reduced the collective lag to 8 years thanks to OpenAl. If you extrapolate we might catch up by 2027. Singularity is near?
The field used to be 30 years behind Jürgen's ideas, now we have reduced the collective lag to 8 years thanks to OpenAl. If you extrapolate we might catch up by 2027. Singularity is near?
OK fine I'll tap the sign how.rl.works
Very cool to see Google Cloud covering how we're using TPUv5e and Jax at @AssemblyAI cloud.google.com/blog/products/…
Can LLaMA-2 teach agents to play NetHack? 🤖 Our new method, Motif, helps agents explore vast open-ended environments by distilling an LLM’s prior knowledge of the world. 🕹️ Motif learns an intrinsic reward model using LLM feedback over caption pairs, which is then used to…
Can LLaMA-2 teach agents to play NetHack? 🤖 Our new method, Motif, helps agents explore vast open-ended environments by distilling an LLM’s prior knowledge of the world. 🕹️ Motif learns an intrinsic reward model using LLM feedback over caption pairs, which is then used to…
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Patrick Loeber @patloeber
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liuyong @forrestbing
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Shinji Watanabe @shinjiw_at_cmu
3K Followers 310 Following I'm working at CMU (2021-). I was working at NTT (2001-2011), MERL (2012-2017), and JHU (2017-2020). Speech and Audio Processing is my main research topic.
Matthew Johnson @SingularMattrix
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🧞♀️🫶
How can we learn a foundational world model directly from Internet-scale videos without any action annotations? @YugeTen, @ashrewards and @jparkerholder from @GoogleDeepMind's Open-Endedness Team are presenting "Genie: Generative Interactive Environments" at the @UCL_DARK Seminar…
How can we learn a foundational world model directly from Internet-scale videos without any action annotations? @YugeTen, @ashrewards and @jparkerholder from @GoogleDeepMind's Open-Endedness Team are presenting "Genie: Generative Interactive Environments" at the @UCL_DARK Seminar…
New paper from our team, led by @pat_verga Are you: * Doing evaluation with LLMs? * Using a huge model? * Worried about self-recognition? Try an ensemble of smaller LLMs. Use a PoLL: less biased, faster, 7x cheaper. Works great on QA & Arena-hard evals arxiv.org/abs/2404.18796
Tomorrow is my last day at @inflectionAI. What a great ride! Some highlights in this THREAD. 1/
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Wish I had a cool name like "AI Dan"
The Aidans at Cohere are growing stronger. We won't let the Aidens win.
We're excited to announce that the Genie Team from @GoogleDeepMind will be our next invited speakers! Title: Genie: Generative Interactive Environments Speakers: @ashrewards, @jparkerholder, @YugeTen Sign up: eventbrite.co.uk/e/ucl-dark-spe… 📌 90 High Holborn 📅 Tue 30 Apr, 17:00
UCL DARK speaker series is back 😍
Stefano V. Albrecht (@UoE_Agents) from @EdinburghUni is the next speaker of @UCL_DARK speaker series! Title: From Deep Reinforcement Learning to LLM-based Agents: Perspectives on Current Research Sign up: eventbrite.co.uk/e/ucl-dark-spe… 📌 90 High Holborn, @ai_ucl 📅 Mon 29 Apr, 16:00
Stefano V. Albrecht (@UoE_Agents) from @EdinburghUni is the next speaker of @UCL_DARK speaker series! Title: From Deep Reinforcement Learning to LLM-based Agents: Perspectives on Current Research Sign up: eventbrite.co.uk/e/ucl-dark-spe… 📌 90 High Holborn, @ai_ucl 📅 Mon 29 Apr, 16:00
European politicians after signing their 90th AI regulation bill of the year
@PMinervini @yuzhaouoe Segmentation masks are like basic fundamental stuff that a code base should have though...
@vivek7ue Cost != activated params is mainly the hill I am defending until 12 am tonight.
Our paper on the Universal-1 multilingual ASR model from @AssemblyAI is now available on arXiv! 🎉 arxiv.org/abs/2404.09841
Very excited to share our pre-print on how we (@AssemblyAI) built our new multilingual speech-to-text model, Universal-1, by massively scaling unsupervised and supervised data to many millions of hours of audio. Check out the pre-print for more details: arxiv.org/abs/2404.09841
We need a MKBHD for AI software. Because there’s tons of bullshit out there to wade through
@jeremyphoward as the semi-serious joke goes: if they published it, its not in gemini
Anatomy of Industrial Scale Multilingual ASR The technical report about our Universal-1 multilingual ASR model is out! Universal-1 is our latest ASR model in production, designed for high-quality, high-throughput, and large-scale operations. arxiv.org/abs/2404.09841
Great team effort that required rethinking everything from data storage to hardware to training strategies. Happy with the result and really excited about the future projects unlocked by the changes to our infra.
Very excited to share our pre-print on how we (@AssemblyAI) built our new multilingual speech-to-text model, Universal-1, by massively scaling unsupervised and supervised data to many millions of hours of audio. Check out the pre-print for more details: arxiv.org/abs/2404.09841
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