Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible.
ocasiocortez.com
PhD Student at Johns Hopkins University. Previously: Allen Institute for AI, Apple, Samaya AI. Research for #NLProc #IR
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
assistant professor in computer science / data science at NYU. studying natural language processing and machine learning.
doing ML stuff at answer.ai / fast.ai
π―π΅-based π«π·man
27, French CS Engineer π», PhD in ML ππ€ β Guiding generative models for better synthetic data and building multimodal representations @LightOn
Sentence Transformers, SetFit & NLTK maintainer
Machine Learning Engineer at π€ Hugging Face
Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . βοΈ π πββοΈπ§ββοΈπ³
UC Berkeley/BAIR, AI2 || Prev: UWNLP, Meta/FAIR || sewonmin.com
PhD candidate @Mila and @McGill
Interested in interplay of knowledge and language
Love being outdoors!
I like tokens! Lead for OLMo data at @ai2.bsky.social (Dolma π) w @kylelo.bsky.social. Open source is fun π€βοΈππ³οΈβπ Opinions are sampled from my own stochastic parrot
more at https://soldaini.net
π¨βπ³ Web Agents @mila-quebec.bsky.social
π @mcgill-nlp.bsky.social
PhD student at McGill University and Mila β Quebec AI Institute
Assistant Professor @Mila-Quebec.bsky.social
Co-Director @McGill-NLP.bsky.social
Researcher @ServiceNow.bsky.social
Alumni: @StanfordNLP.bsky.social, EdinburghNLP
Natural Language Processor #NLProc
#NLP Postdoc at Mila - Quebec AI Institute & McGill University
mariusmosbach.com
Search at Reddit, formerly Shopify and OpenSource Connections. Helped write Relevant Search / AI Powered Search
http://softwaredoug.com
RecSys, AI, Engineering; Principal Applied Scientist @ Amazon. Led ML @ Alibaba, Lazada, Healthtech Series A. Writing @ eugeneyan.com, aiteratelabs.com.
Research Engineer at Zeta Alpha. Likes π§ neural IR, π model evals, and ποΈ lifting weights. Incredibly optimistic about the future!
π: din0s_ / π₯οΈ: din0s.me
