AI and Memory Wall
Author:
Affiliation:
1. UC Berkeley, , Berkeley, CA, 94720, USA
2. Snowflake, Bellevue, , WA, 98004, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/40/10568462/10477550.pdf?arnumber=10477550
Reference12 articles.
1. Language models are few-shot learners;Brown,2020
2. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018
3. A Survey of Quantization Methods for Efficient Neural Network Inference
4. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks;Hoefler;J. Mach. Learn. Res.,2021
5. Training compute-optimal large language models;Hoffmann,2022
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