ZipNN: a new lossless compression method adapted to neural networks
The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model implementation and communication. As models ...
Tag: compression
This AI article introduces DyCoke: Dynamic Token Compression for Efficient, High-Performance Large Video Language Models
Video Large Language Models (VLLM) have emerged as transformative tools for analyzing video content. These models excel at multimodal reasoning, ...
KVSharer: A plug-and-play machine learning method that shares KV cache between layers to achieve layered compression
In recent times, large language models (LLMs) built on the Transformer architecture have demonstrated remarkable capabilities in a wide range ...
Stanford researchers present ZIP-FIT: a novel data curation AI framework that chooses compression over embeddings to tune models on domain-specific tasks
Selecting data for domain-specific art is a complex art, especially if we want to get the desired results from language ...
Compress and Compare: Interactive Evaluation of Efficiency and Behavior in Machine Learning Model Compression Experiments
*Equal taxpayers To deploy machine learning models on the device, professionals use compression algorithms to shrink and speed up the ...
This AI paper presents a novel L2 standards-based KV cache compression strategy for large language models
Large language models (LLMs) are designed to understand and manage complex linguistic tasks by capturing context and long-term dependencies. A ...
Optimizing Document Comprehension with DocOwl2: A New High-Resolution Compression Architecture
Understanding multi-page documents and news videos is a common task in people’s daily lives. To address these scenarios, large multimodal ...
Amazon is selling a set of 7 compression packing cubes for just $12 right now
TheStreet aims to offer only the best products and services. If you buy something through one of our links, we ...
WavTokenizer: An innovative acoustic codec model that redefines audio compression
Large-scale language models have made significant progress in generative tasks involving multi-speaker speech synthesis, music generation, and audio generation. Integrating ...
Snowflake-Arctic-Embed-m-v1.5 released: a groundbreaking text embedding model with 109 million parameters and improved compression and performance capabilities
Snowflake recently announced the release of its updated text embedding model, arctic-snowflake-embedded-m-v1.5This model generates highly compressible embedding vectors while maintaining ...
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