Rachel Allen

51 posts

Rachel Allen

Rachel Allen

@RachelKayAllen

Data Scientist, AI Infrastructure @rapidsai @NVIDIA. @UVA PhD. Views are my own 💁🏻‍♀️🥼🧠💻📈🤖

Katılım Temmuz 2018
962 Takip Edilen406 Takipçiler
Rachel Allen
Rachel Allen@RachelKayAllen·
@moo_hax @josephtlucas @BartleyR heh, not all your language models need be large! things actually get interesting wrt to NER vs QA for passwords where having the model learn the tokens for high entropy strings doesn't make as much sense as learning the start/stop of the span.
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Joe Lucas
Joe Lucas@josephtlucas·
I wonder if some security tasks like extracting paths, passwords, etc from unstructured text can be nicely modeled as named entity recognition… github.com/urchade/GLiNER
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Brendan O'Donoghue
Brendan O'Donoghue@bodonoghue85·
Machine learning themed band names: Florence and the support vector machine Andrew W.K-nearest neighbors Deep Purple Networks MCMC Hammer The Supremums others?
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Detect Cybersecurity threats in an Instant. Introducing NVIDIA Morpheus, a new AI framework for creating zero-trust data center security. Learn more: nvda.ws/2QiklEM
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Papers with Code
Papers with Code@paperswithcode·
🎉 Introducing... Datasets! We are now indexing 3000+ research datasets from machine learning. Find datasets by task and modality, compare usage over time, browse benchmarks, and much more! Explore the catalogue here: paperswithcode.com/datasets
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Vibhu Jawa
Vibhu Jawa@JawaVibhu·
My @GlobalPy talk on " Accelerating Text Processing with @RAPIDSai " is now public. Please check it out to learn more about how GPUs are awesome for all sorts of text processing. youtu.be/r2UhxrP1BCo
YouTube video
YouTube
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Jake Williams
Jake Williams@MalwareJake·
Hoovering up all the event logs but finding out that now you only have seconds of retention (or more aptly not finding out until too late...)
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Bartley Richardson
Bartley Richardson@BartleyR·
Using GPUs and @RAPIDSai, @bianca_rhodes and @RachelKayAllen achieved an 11x speed-up in an inferencing pipeline for detecting malicious #IoT devices. Using #cuML FIL to process over 1M logs/s! 🔥🔥 #CyberSecurity
RAPIDS AI@RAPIDSai

#cybersecurity workflows need to flag malicious traffic as close to the event as possible. See an 11x speed-up by switching your streaming inference pipeline to @RAPIDSai cuStreamz & FIL on #GPU. Process +1M connection logs/s and mitigate attacks quickly. nvda.ws/3oZfILS

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Bartley Richardson
Bartley Richardson@BartleyR·
If you haven’t checked out our accelerated sub word tokenizer, it’ll still be there after you #vote! Your vote is precious and hard-fought - use it, cherish it. And let’s make things better than how we found them. #Vote2020
RAPIDS AI@RAPIDSai

In a snap, 2 years disappeared and @rapidsai blossomed. Our 0.16 release has more scale/ease of use with our new #GPU #SHAP, #TPOT integration, cyBERT 2.0, @blazingsql, #NVTabular, and more all built on @dask_dev. Plus, #RAPIDSFire podcast drops soon! nvda.ws/34NYTMn

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clem 🤗
clem 🤗@ClementDelangue·
In a bit more than an hour, I'll train live a language model on @nvidia's tweets to see what kind of text it generates & talk about how the revolution of natural language processing is changing how companies understand text. Follow it live here: nvidia.com/en-us/gtc/sess… #GTC20
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Zahra Ronaghi Rafeedheen
Zahra Ronaghi Rafeedheen@ZahraRonaghi·
Stop by office hours tomorrow for live Q&A on “Fundamentals of high-performance data science with @rapidsai" at #JupyterCon2020: academy.numfocus.org/about-course/?…
JupyterCon 2023@JupyterCon

"Fundamentals of high-performance data science with RAPIDS," presented by Zahra Ronaghi at #JupyterCon2020 is now OPEN. This speaker will be presenting live at the scheduled times! (No pre-recorded video.) academy.numfocus.org/about-course/?…

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Keşfet

@mitopenlearning @moo_hax @josephtlucas @BartleyR @bodonoghue85 @splunk @AbrahamStarosta @nvidia