Staff Research Scientist at ServiceNow && Adjunct Professor at the University of British Columbia
I'm excited to share that our video discussing the "PromptMix" EMNLP2023 paper, a collaborative project with my team at ServiceNow and the University of Waterloo, is now live on YouTube. Check it out here: https://lnkd.in/e525t94c This research focuses on using large language models for powerful text data augmentation. Enjoy watching!
Software | Technology | Arts | Writing | Ex - Agilent, Bloomberg, Intel, Persistent | UF | PICT
Language is a result of lossy compression algorithm running over real physical world or abstract ideas or imagination. In order to convert language back to those things, we need decompression which can result in multiple non-exact outcomes!
Learn how you can reduce the size of Docker images serving LLMs by following along Michał Marcińczuk, PhD's clear and concise guide.
enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
Excited to share our latest blog post on "Large Language Model (LLM) for Standard Cell Layout Design Optimization." Learn how we leverage the natural language and reasoning ability of LLM to generate high-quality cluster constraints incrementally to optimize cell layout PPA and debug routability. Check out the full article here: https://bit.ly/3z1dw0z.
Every powerful language has three mechanisms for accomplishing this: • primitive expressions, which represent the simplest entities the language is concerned with, • means of combination, by which compound elements are built from simpler ones, and • means of abstraction, by which compound elements can be named and manipulated as units.
Global Chief Strategy Officer @ BOND 🎯 | Publicity Chair @ IEEE AIxB 📅 | AI Builder & Coach 👷♂️ | Transforming Brands ⚡️ | Building Human^AI Teams 🧑🤖 | Columbia Biz School 🎓 | NYC 🇺🇸 Helsinki 🇫🇮 Dubai 🇦🇪 |
An observation: If you upload just these two titles to your custom GPT as custom knowledge, that GPT will possess all the human knowledge ever accumulated throughout the history of mankind.
open-sourceress at 🤗 | Google Developer Expert in Machine Learning, MSc Candidate in Data Science
Two new vision language model benchmarks arrived! BLINK: evaluates tasks that humans can solve within a blink 👀 SEED-Bench-2-Plus: multichoice questions on charts, maps, webs 🕸️ Find dataset repositories in the comments ⬇️
🔍 Exploring the Fascinating World of Bayes Theorem! 🔢✨ Check out the intriguing details in this article: https://buff.ly/3Ou6WEG 📖💻 Dive into the mathematical wonders of the Bayes Theorem – a powerful tool unraveling the conditional probability of event A happening after event B. 🤓📊 🔄 Imagine predicting the occurrence of an event based on a similar event that has already taken place! 🌐✨ Join me on this intellectual journey as we understand how Bayes Theorem works its magic, showcasing the independence of these two events. 🚀🤯 Let's embark on this mathematical exploration together! 🧮💬 #BayesTheorem #ProbabilityMagic #MathematicsMarvels
