DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies Paper • 2310.04610 • Published Oct 6, 2023 • 1
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study Paper • 2211.02092 • Published Nov 3, 2022
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication Paper • 2411.04257 • Published Nov 6, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets Paper • 2403.15953 • Published Mar 23, 2024
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Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression Paper • 2403.15447 • Published Mar 18, 2024 • 16
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data Paper • 2401.17600 • Published Jan 31, 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Paper • 2312.03724 • Published Nov 27, 2023 • 1
Applications of Machine Learning to Lattice Quantum Field Theory Paper • 2202.05838 • Published Feb 10, 2022 • 1
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies Paper • 2310.04610 • Published Oct 6, 2023 • 1
view post Post 👋 I'm SamI use ML and HPC to accelerate scientific discovery @ Argonne National Laboratory*https://samforeman.mehttps://twitter.com/saforem2https://github.com/saforem2* https://alcf.anl.gov/about/people/sam-foreman 🤗 5 5 + Reply
LeapfrogLayers: A Trainable Framework for Effective Topological Sampling Paper • 2112.01582 • Published Dec 2, 2021
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory Paper • 2312.08936 • Published Dec 14, 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Paper • 2306.11698 • Published Jun 20, 2023 • 12