Highlights from #ICML 2024 ICML 2024 has been incredible! We've enjoyed insightful discussions and the opportunity to connect with AI researchers and practitioners. We're proud to present the following papers at ICML 2024: "Sparse-IFT: Sparse Iso-FLOP Transformations
@cerebras
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Neural Scaling Laws Workshop Highlights from ICML 2024
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Highlights from #ICML 2024! We had an incredible time at the 7th Workshop on Neural Scaling Laws: Scaling, Transfer & Multilingual Models, held earlier this week at ICML in Vienna. This joint event, co-organized with Irina Rish and CERC-AAI, brought together brilliant
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Bilingual Foundation Models Presented at ICML 2024
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Attend our presentation at #ICML 2024 in Vienna, Austria! Yishu Xu and Gokul Ramakrishnan will present our accepted paper, "Bilingual Adaptation of Monolingual Foundation Models Presentation at the ICML 2024 Workshop on Foundation Models in the Wild In collaboration with G42,
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7th Neural Scaling Laws Workshop at ICML 2024
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We're Live! Join us for the 7th workshop on Neural Scaling Laws at ICML 2024 Join here: https://
lnkd.in/g9PTnKTG -
Sparse-IFT: Novel Neural Network Efficiency Enhancement Technique
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Join us at #ICML 2024 in Vienna, Austria, where Vithu will present our accepted paper, "Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency," during the poster session. This paper introduces a novel approach to enhancing neural network efficiency by
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Sandia Labs Director Testifies on AI Economic Growth Potential
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Jennifer Gaudioso, Director of the Center for Computing Research at Sandia National Laboratories, testified in front of the United States Congress Joint Economic Committee's hearing on Artificial Intelligence and its potential to fuel economic growth and improve governance.
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Cerebras presents efficient LLM language adaptation method at ICML
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Just 4 days until the 7th workshop on Neural Scaling Laws at #ICML 2024 Cerebras ML Engineer, Yishi Xu will present an efficient method for adapting a monolingual Large Language Model (LLM) to another language, addressing challenges of catastrophic forgetting and tokenizer
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7th Neural Scaling Laws Workshop at ICML 2024
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Only 5 days until the 7th workshop on Neural Scaling Laws at ICML 2024 Professor Preslav Nakov from Mohamed bin Zayed University of Artificial Intelligence will describe datasets for evaluating multilingual LLMs, along with experiments and lessons learned for future research.
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Neural Scaling Laws Workshop Features Bilingual Arabic-English LLMs
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Join us for the 7th workshop on Neural Scaling Laws at ICML 2024 G42's Neha Sengupta will discuss the Jais family of Arabic-English bilingual models, comparing those trained from scratch with those adapted from off-the-shelf English LLMs. July 22, 2024, 9:00AM Local Time
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Neural Scaling Laws Workshop Features Meta’s Multilingual Language Model Advances
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Less than 1 week until the 7th workshop on Neural Scaling Laws at ICML 2024 Tatiana Shavrina, PhD, Research Scientist Manager at Meta, will present on the latest advancements and limitations in multilingual language models, highlighting the significant milestones in machine