This or comparing safety numbers
RESEARCH
-
GPT-5 Hallucination Rates: Continuing the Trend of Larger Models
By
–
One of the big questions about GPT-5 is whether it continues the trend that larger models hallucinate less For example, in this study of medical citations, GPT-3.5 had a hallucination rate of 55%, while GPT-4 (without internet access) made up 18% of cites https://
nature.com/articles/s4159
8-023-41032-5
… -
Paroma Varma’s Machine Learning Journey and Weak Supervision Research
By
–
In a throwback to 2021, we revisit a pivotal episode of our Science Talks series, where we hear about Snorkel Co-Founder Paroma Varma's journey into machine learning and her groundbreaking research. https://
youtube.com/watch?v=Kl6Eaj
BVrzs
… #machinelearning #weaksupervision #snorkelai #AI -
EvoBOT: Autonomous Mobile Robot Innovation by Fraunhofer IML
By
–
EvoBOT, the autonomous mobile #Robot
— Ronald van Loon (@Ronald_vanLoon) 25 mars 2024
via @FraunhoferIML#Robotics #AI #MachineLearning #Innovation #Technology #Tech #TechForGood
cc: @pascal_bornet @pbalakrishnarao @ravikikan pic.twitter.com/79jv4lTnxVEvoBOT, the autonomous mobile #Robot
via @FraunhoferIML #Robotics #AI #MachineLearning #Innovation #Technology #Tech #TechForGood cc: @pascal_bornet @pbalakrishnarao @ravikikan -
Code Interpreter: Balancing Statistical Risks and Accessibility
By
–
As someone who does lots of quantitative work & knows how it can go wrong, I totally get why stats folks are worried about the misuse of Code Interpreter, but would love to see more engagement with how people with less experience can use it effectively. It is an opportunity, too
-
NVIDIA FLARE and Flower Labs announce federated learning compatibility
By
–
#NVIDIAInception member, Flower Labs, just announced a new compatibility with NVIDIA FLARE as part of a collaboration between two of the most widely used frameworks for federated learning. https://
nvda.ws/43AYeuO -
Mastering LLMs: Understanding Transformers and Large Language Models
By
–
🎥 New Video Alert 🎥https://t.co/8sikPKPzhQ
— Satya Mallick (@LearnOpenCV) 25 mars 2024
Join us in the first video of our Mastering LLMs series, where we break down Large Language Models (LLMs), their uses, and the tasks they can perform. We explain the Transformer architecture, its importance, and how it works.
Learn… pic.twitter.com/dx2CilvZeXNew Alert https://
youtube.com/watch?v=onoPBD
AB3ps
… Join us in the first video of our Mastering LLMs series, where we break down Large Language Models (LLMs), their uses, and the tasks they can perform. We explain the Transformer architecture, its importance, and how it works.
Learn -
National AI Research Resource: Cloud Computing Initiative Launched
By
–
June 2020: We began to organize universities and tech companies to support a national cloud computing project, now called the National AI Research Resource, with coverage in @NYTimes
: #MondayMilestones 6/n -
U.S. Government Task Force Democratizes AI Research Resource Access
By
–
March 2020: Our work toward democratizing AI research continued. We proposed a U.S. government-led task force to establish a National AI Research Resource. #MondayMilestones 5/n
-
Hand-Writing Fine-Tuning Datasets: Manual Data Curation Strategy
By
–
Massive alpha in hand-writing fine-tuning datasets from scratch Sit down for a week with tons of coffee and just write amazing examples Call me crazy, but it works