原文链接：结论：LLM之所以主要都用Decoder-only架构，除了训练效率和工程实现上的优势外，在理论上是因为...
原因1：过往研究证明decoder-only泛化化性能更好Google有两篇著名的发表于ICML’22的论文，一个是《Examining Scaling and Transfer of Language Model Architectures for Machine Translation》，另一个是《What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?》，两篇论文...
现在的LLM大多采用Decoder only的架构，主要有以下原因：技术优势- 计算高效：Decoder only架构无需像Encod...
Efficient encoder-decoder architecture for small language models (≤1B parameters) with cross-architecture knowledge distillation and vision-language capabilities encoder-decoder vision-and-language llm decoder-only Updated Feb 7, 2025 Python cisnlp / MEXA Star 10 Code Issues Pull requests 🔍 ...
LLMs:《A Decoder-Only Foundation Model For Time-Series Forecasting》的翻译与解读 导读:本文提出了一种名为TimesFM的时序基础模型,用于零样本学习模式下的时序预测任务。 背景痛点:近年来,深度学习模型在有充足训练数据的情况下已成为时序预测的主流方法,但这些方法通常需要独立在每个数据集上训练。同时,自然语言处...
NVIDIA recently announced that NVIDIA TensorRT-LLM now accelerates encoder-decoder model architectures. TensorRT-LLM is an open-source library that optimizes inference for diverse model architectures, including the following: Decoder-only models, such as Llama 3.1 Mixture-of-experts (MoE) mod...
Efficient encoder-decoder architecture for small language models (≤1B parameters) with cross-architecture knowledge distillation and vision-language capabilities Topics encoder-decoder vision-and-language llm decoder-only Resources Readme License MIT license Code of conduct Code of conduct Security...
Self-Attention Networks.Typically for decoderonly LLMs like Llama2 (Touvron et al., 2023b), self-attention networks (SANs) map queriesQ, keysK, and valuesVinto an output, as delineated in the following equations, whereMdenotes anL×Lmasking matrix, facilitating the currenti-th token to atten...
Fig. 2. The overall architecture of RID. (a) illustrates the rationale-aware explanation generation module based on prompt learning, where PL represents prompt only; PL_Ans represents prompt with answer; PL_Art indicates manual annotation in cases where neither of the above methods can solve. (...
Large language models (LLMs) have achieved remarkable success in the field of natural language processing, enabling better human-computer interaction using natural language. However, the seamless integration of speech signals into LLMs has not been explored well. The "decoder-only" architecture has ...