How has #GenAI been leveraged for #cybersecurity and what's on the horizon?
Come join me tomorrow at 12pm EST to discuss GenAI and cybersecurity applications with @mitopenlearning
Registration is free and open to all: https://t.co/lUTkG7eyvZ
@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.
Detect Cybersecurity threats in an Instant. Introducing NVIDIA Morpheus, a new AI framework for creating zero-trust data center security. Learn more: https://t.co/92S1dbvU9i
The engineers and researchers at @splunk are doing amazing work to move log parsing away from a rules-based approach. This blog by @AbrahamStarosta details how they use @nvidia#Triton and #Morpheus to parse machine logs with #MachineLearning. https://t.co/82jDEuMG14
🎉 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: https://t.co/sST84xRiSd
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.
https://t.co/6ymcJQFkOv
GPU acceleration comes to SHAP! Explain #MachineLearning model predictions from @XGBoostProject 20x faster or more with minimal code changes. https://t.co/2MOOkRBT1k
Join #RAPIDSFire host @realpaulmahler and guest @RachelKayAllen who discuss the future of artificial general intelligence, how neural nets relate to actual brains, and issues to consider as we move toward an AGI future. #AI https://t.co/2a9MUAfsrW
Have you ever wondered why neurons are like snowflakes? No two alike, even if they're the same type. In our latest preprint, we think we have (at least part of) the answer: it promotes robust learning.
Tweeprint follows (1/16)
https://t.co/GbN9dXxt7Q
All right, here it is - the first ever native @Kaggle@rapidsai notebook. I took @Giba1's notebook, converted it to Rapids, and added a few models:
https://t.co/NoC2myJWxh
Checkout the new pipeline improvements in cyBERT 2.0 - Streaming #GPU log parsing with @rapidsai and new subword tokenizer & integration with #Python Streamz library. Let us know how you're using cyBERT! https://t.co/iHBslnCv0I
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
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: https://t.co/1addO6rIXH #GTC20
Stop by office hours tomorrow for live Q&A on “Fundamentals of high-performance data science with @rapidsai" at #JupyterCon2020: https://t.co/NS5LevGLbS