
TAGinDS
@TAGinDS
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Mathematical data scientists leveraging Topology, Algebra, and Geometry (TAG) in Data Science
United States
Joined December 2021
What a terrific first session of the @GRaM_org_ workshop @icmlconf ! The speakers, posters, and organization have been awesome and there’s more to come! Please join us to kick off the afternoon session with an engaging panel at 2:00pm! .@SharvVadgama @HLawrenceCS @erikjbekkers.
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Hope to see you at the Geometry-grounded Representation Learning and Generative Modeling Workshop @GRaM_org_ at @icmlconf this morning! Come check it out! . Be there or be square (or a triangle or a circle 😉)!. @Pseudomanifold @SharvVadgama @HLawrenceCS @erikjbekkers.
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RT @HLawrenceCS: Get ready for some great proGRaMming on representation geometry, generative models, and beyond at the GRaM workshop! Happe….
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Thank you all for making this TAG-ML @icml gathering a huge success! It was a wonderful turnout— we enjoyed getting to meet you. We look forward to seeing many of you at the @GRaM_org_ workshop on Saturday and hope to see you at another TAG event very soon ❤️
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To the TAG community at @icml— we’ll be gathering today at 5:45 at come join us, meet new friends, chat about research, and get excited about the awesome GRaM workshop on Saturday! @Pseudomanifold @erikjbekkers @SharvVadgama.
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Happening this morning at 11 am PT!.
🔄🧠📚 How can we control and edit the beliefs expressed by large language models? Join us tomorrow for a talk from Peter Hase @peterbhase on "Controlling and Editing Knowledge in Large Language Models.". 📅 May 14th, 11 AM PST / 2 PM EST (zoom).🎤 Speaker: Peter Hase @peterbhase
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🔄🧠📚 How can we control and edit the beliefs expressed by large language models? Join us tomorrow for a talk from Peter Hase @peterbhase on "Controlling and Editing Knowledge in Large Language Models.". 📅 May 14th, 11 AM PST / 2 PM EST (zoom).🎤 Speaker: Peter Hase @peterbhase
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Happening at 11 am PT today!.
🔓🔍✨ How much can one learn about a language model by only making queries to its API? Tomorrow at 11 AM PST / 2 PM EST (link below), Daniel Paleka (ETH Zurich) @dpaleka will discuss the first attack that extracts nontrivial info from production language models using API calls.
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