Assistant prof. @Diyi_Yang focuses on building socially aware language technologies to support human-human and human-computer interaction. Her CS course, Human-Centered NLP, challenges students to think beyond technical performance or accuracy. 4/n https://
hai.stanford.edu/news/diyi-yang
-human-centered-natural-language-processing-will-produce-more-inclusive-technologies
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MACHINE LEARNING
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Human-Centered NLP: Building Inclusive Language Technologies
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Susan Athey: Economist Bridges Machine Learning and Government Policy
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Economist @Susan_Athey helped to plan the launch of @StanfordHAI & became one of its founding associate directors. Her work covers the intersection of machine learning and econometrics. In 2022, she joined the U.S. Dept. of Justice as chief economist. 3/n https://
hai.stanford.edu/news/technolog
y-economist-susan-athey-adds-doj-role-her-multidimensional-career
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CogView3: Faster Text-to-Image Generation via Relay Diffusion
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CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion Zheng et al.: https://
arxiv.org/abs/2403.05121 #ArtificialIntelligence #DeepLearning #MachineLearning -
Is Cosine Similarity of Embeddings Really About Similarity?
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Is Cosine-Similarity of Embeddings Really About Similarity? Steck et al.: https://
arxiv.org/abs/2403.05440 #ArtificialIntelligence #DeepLearning #MachineLearning -
McKinsey Experts Share Enterprise AI/ML Value Leverage Strategies
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Carlo Giovine and David Harvey, experts from McKinsey QuantumBlack, share insightful perspectives on how companies can leverage the immense value potential of AI/ML in this engaging talk. here: https://
youtube.com/watch?v=aBkGsB
71A4E
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YOLOv9 Tutorial: Latest YOLO Series Milestone with PGI
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🎥 New Video Alert 🎥https://t.co/lxxifcvfod
— Satya Mallick (@LearnOpenCV) 11 mars 2024
Our latest video tutorial dives into YOLOv9, the latest milestone in the YOLO series. Developed by Chien-Yao Wang and his team, YOLOv9 introduces groundbreaking technologies like Programmable Gradient Information (PGI) and… pic.twitter.com/qLluzVDu7DNew Alert https://
youtube.com/watch?v=rAOtQZ
srmgE
… Our latest video tutorial dives into YOLOv9, the latest milestone in the YOLO series. Developed by Chien-Yao Wang and his team, YOLOv9 introduces groundbreaking technologies like Programmable Gradient Information (PGI) and -
Build Enterprise Applied AI Systems at Scale with Generative AI
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Use #GenerativeAI from @AbacusAI to Build End-to-End Enterprise Applied #AI Systems at scale: https://t.co/m6xtTyEAdK = the world's first end-to-end #MLOps and #LLMOps platform where AI builds Applied AI agents and systems!
— Kirk Borne (@KirkDBorne) 11 mars 2024
——#MachineLearning #ML #DataScience #EnterpriseAI #LLMs pic.twitter.com/KkIBWsFr3HUse #GenerativeAI from @AbacusAI to Build End-to-End Enterprise Applied #AI Systems at scale: https://
abacus.ai = the world's first end-to-end #MLOps and #LLMOps platform where AI builds Applied AI agents and systems!
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#MachineLearning #ML #DataScience #EnterpriseAI #LLMs -
Planning with Learned Models Mastering Atari Go Chess Shogi
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model Schrittwieser et al. : https://
arxiv.org/abs/1911.08265 #ArtificialIntelligence #DeepLearning #MachineLearning -
7B Language Models Show Strong Mathematical Capabilities
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Common 7B Language Models Already Possess Strong Math Capabilities Li et al.: https://
arxiv.org/abs/2403.04706 #ArtificialIntelligence #DeepLearning #MachineLearning -
Fine-tuning Transformers: Leveraging OSS Checkpoints for Model Adaptation
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@drummatick the power of these transformer models often come from the data it’s trained on, I’d try fine tuning from an OSS checkpoint. The power of the transformer architecture is that (a) it’s easy to adapt to different problems/modalities, (b) lends itself well to broad pre