Summary of Kv Cache Is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization, by Tianyi Zhang et al.
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantizationby…
Summary of Megalodon: Efficient Llm Pretraining and Inference with Unlimited Context Length, by Xuezhe Ma et al.
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Lengthby Xuezhe Ma, Xiaomeng Yang, Wenhan…
Summary of A Dataset and Benchmark For Hospital Course Summarization with Adapted Large Language Models, by Asad Aali et al.
A Dataset and Benchmark for Hospital Course Summarization with Adapted Large Language Modelsby Asad Aali,…
Summary of Hyperparameter Tuning Mlps For Probabilistic Time Series Forecasting, by Kiran Madhusudhanan et al.
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecastingby Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-ThiemeFirst submitted…
Summary of Nomad-attention: Efficient Llm Inference on Cpus Through Multiply-add-free Attention, by Tianyi Zhang et al.
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attentionby Tianyi Zhang, Jonah Wonkyu Yi, Bowen…
Summary of Towards Understanding Inductive Bias in Transformers: a View From Infinity, by Itay Lavie et al.
Towards Understanding Inductive Bias in Transformers: A View From Infinityby Itay Lavie, Guy Gur-Ari, Zohar…
Summary of Kvquant: Towards 10 Million Context Length Llm Inference with Kv Cache Quantization, by Coleman Hooper et al.
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantizationby Coleman Hooper, Sehoon…