Building on our innovation in Med-PaLM, we’re excited to announce MedLM, our latest medically tuned model that is now available to allowlisted @GoogleCloud customers in Vertex AI. Learn more about how partners are using MedLM already:
@googleai
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Google Introduces DICES Dataset for Conversational AI Safety
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Stop by the #NeurIPS2023 Google booth today at 9:15am where @laroyo
, @vinodkpg
, & @AliciaVParrish will introduce the DICES dataset, a shared resource and benchmark that respects diverse perspectives during safety evaluation of conversational AI systems. -
Jelani Nelson on Data Sketches at NeurIPS 2023
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This morning’s #NeurIPS2023 Keynote talk is by Jelani Nelson, who will discuss data sketches (memory-compressed summarizations for answering of useful queries), core sketching tools & how they work, and new areas of related research. The talk starts at 8:30am!
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StyleDrop: Text-to-Image Synthesis with Style Reference Control
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At 4:45pm today, stop by the #NeurIPS2023 Google booth where researchers Kihyuk Sohn, Lu Jiang & Irfan Essa will present StyleDrop, a text-to-image synthesis tool that can leverage reference images to ensure style-consistent generation. pic.twitter.com/B4WoTYmPOZ
— Google AI (@GoogleAI) 12 décembre 2023At 4:45pm today, stop by the #NeurIPS2023 Google booth where researchers Kihyuk Sohn, Lu Jiang & Irfan Essa will present StyleDrop, a text-to-image synthesis tool that can leverage reference images to ensure style-consistent generation.
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Med-PaLM: High-Quality Medical Question Answering LLM
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Med-PaLM is an #LLM designed to provide high quality answers to medical questions. Learn all about it today at 4:45pm, when Tao Tu will be at the #NeurIPS2023 Google to discuss Med-PaLM's capabilities. pic.twitter.com/FnTzxBW6kF
— Google AI (@GoogleAI) 12 décembre 2023Med-PaLM is an #LLM designed to provide high quality answers to medical questions. Learn all about it today at 4:45pm, when Tao Tu will be at the #NeurIPS2023 Google to discuss Med-PaLM's capabilities.
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NeurIPS Test of Time Award for Word Embeddings Paper
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Congratulations to Jeff Dean, Greg Corrado, & co-authors of the paper “Distributed Representations of Words and Phrases and their Compositionality”, for winning the #NeurIPS2023 Test of Time Award! This prize recognizes a highly impactful paper published at NeurIPS 10 years ago.
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Differential Privacy: Correlated Noise in DP Algorithms Explained
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Learning with #DifferentialPrivacy often involves adding noise into the learning process. At 3:20pm today, Krishna Pillutla will be at the #NeurIPS2023 Google booth to explain why it is beneficial in DP algorithms to add noise that is correlated across time. Drop by to hear more!
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Google Advances Extreme-Scale Graph Embedding with TPU Chips
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We are excited to present our latest advances in extreme-scale graph embedding, powered by #TPU AI chips. Join @phanein and @graph_ at #NeurIPS2023 at 3:20PM at the Google Booth to learn more.
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Google Researchers Win 2023 INFORMS Prize for Allocation
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Congratulations to Googlers Santiago Balseiro, Haihao Lu, & Vahab Mirrokni for winning the 2023 INFORMS Revenue Management and Pricing Section Prize (
https://
goo.gle/4851TC3) for "The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems". Read all about it ↓ -
Google Gemini Model Presentation at NeurIPS 2023
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Want to learn more about the new Google Gemini model? Join Jeff Dean and members of the Gemini team at the #NeurIPS2023 Google booths today at 1:30pm to hear all about it!