NEWSLETTER
AI and Crypto Drive Criminal efficiency: Europol
The European Union Agency for the Cooperation of the Application of the Law (Europol) published a report that explains how ...
Tag: Efficiency
Ethereum believes that posidon hash to increase the efficiency of the zero knowledge test
The ethereum co -founder, Vitalik Butein, advocates a deeper investigation in the Hash Poseidon function, since the network explores ways ...
Bytedance presents Ultramem: a new AI architecture for high performance language and resource efficiency models
Large language models (LLM) have revolutionized natural language processing (NLP) but face significant challenges in practical applications due to their ...
Salesforce AI Research introduces a speculative decoding guided by rewards (RSD): a novel frame that improves the efficiency of inference in large language models (LLM) up to 4.4 × less failures
In recent years, the rapid scale of large language models (LLM) has led to extraordinary improvements in the understanding of ...
Layer parallelism: Improvement of LLM's inference efficiency through the parallel execution of transformer layers
LLMs have demonstrated exceptional capabilities, but their substantial computational demands pose significant challenges for large -scale implementation. While above studies ...
Quantization space use rate (QSUR): A new quantization method after training designed to improve the efficiency of large language models (LLM)
Quantization after training (PTQ) It focuses on reducing the size and improving the speed of large language models (LLM) to ...
Meet Tensor Product Attention (TPA): revolutionizing memory efficiency in language models
Large language models (LLMs) have become fundamental to natural language processing (NLP), excelling at tasks such as text generation, comprehension, ...
Unlocking Cloud Efficiency: Optimized NUMA Resource Mapping for Virtualized Environments
Disaggregated systems are a new type of architecture designed to meet the high resource demands of modern applications such as ...
This AI paper presents XMODE: an explainable multimodal data exploration system powered by LLM to improve accuracy and efficiency
Researchers are increasingly focused on creating systems that can handle multimodal data exploration, which combines structured and unstructured data. This ...
Google DeepMind Introduces Differentiable Cache Augmentation: A Coprocessor-Enhanced Approach to Boost LLM Reasoning and Efficiency
Large language models (LLMs) are essential for solving complex problems in the domains of language processing, mathematics, and reasoning. Improvements ...
