This AI Paper Explores the Impact of Model Compression on Subgroup Robustness in BERT Language Models
The numerous computational calls for of huge language fashions (LLMs) have hindered their adoption throughout numerous ...
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This Paper Introduces AQLM: A Machine Learning Algorithm that Helps in the Extreme Compression of Large Language Models via Additive Quantization
Within the quickly advancing area of synthetic intelligence, the environment friendly operation of huge language fashions ...
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This Machine Learning Research from Yale and Google AI Introduce SubGen: An Efficient Key-Value Cache Compression Algorithm via Stream Clustering
Giant language fashions (LLMs) face challenges in producing long-context tokens as a consequence of excessive reminiscence ...
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Pleora adds RapidPIX lossless compression technology
Take heed to this text Pleora Applied sciences’ iPORT NTx-Mini-LC with RapidPIX compression. | Supply: Pleora ...
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Pleora RapidPIX™ Compression Brings Bandwidth Boost to Vision Applications
Patented RapidPIX™ lossless compression helps designers enhance efficiency with out including prices by growing information throughput ...
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Researchers from ETH Zurich and Microsoft Introduce SliceGPT for Efficient Compression of Large Language Models through Sparsification
Massive language fashions (LLMs) like GPT-4 require substantial computational energy and reminiscence, posing challenges for his ...
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How to Cut RAG Costs by 80% Using Prompt Compression | by Iulia Brezeanu | Jan, 2024
Accelerating Inference With Immediate CompressionPicture by the creator. AI Generated.The inference course of is among the ...
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Meet EAGLE: A New Machine Learning Method for Fast LLM Decoding based on Compression
Massive Language Fashions (LLMs) like ChatGPT have revolutionized pure language processing, showcasing their prowess in varied ...
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UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning
The sensible success of deep studying in processing and modeling giant quantities of high-dimensional and multi-modal ...
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Researchers from China Introduced a Novel Compression Paradigm called Retrieval-based Knowledge Transfer (RetriKT): Revolutionizing the Deployment of Large-Scale Pre-Trained Language Models in Real-World Applications
Pure language processing (NLP) purposes have proven outstanding efficiency utilizing pre-trained language fashions (PLMs), together with ...
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