对于decoder-based模型来说，我们确实不需要位置编码，也能通过attention mask来区分不同token的位置。只不...
Large language models (LLMs), known for their exceptional reasoning capabilities, generalizability, and fluency across diverse domains, present a promising avenue for enhancing speech-related tasks. In this paper, we focus on integrating decoder-only LLMs to the task of speech-to-text translation ...
Along the way, we will give some background on sequence-to-sequence models in NLP and break down the transformer-based encoder-decoder architecture into its encoder and decoder parts. We provide many illustrations and establish the link between the theory of transformer-based encoder-decoder models...
VisionLLM旨在将以视觉为中心的任务与语言任务对齐,使用语言指令统一灵活地定义所有任务,并通过共享的LLM-based任务解码器来解决它们。 3. VisionLLM VisionLLM旨在提供一个统一的通用框架,能够无缝地将大型语言模型(LLMs)的优势与以视觉为中心的任务的特定需求相结合。VisionLLM的整体架构包括三个关键设计,这三个设计...
受自然语言处理(NLP)领域中大规模语言模型(LLMs)近期进展的启发,我们设计了一种用于预测的时间序列基础模型,其在各种公共数据集上的即开即用零样本表现接近于每个单独数据集上最先进的监督预测模型的准确性。我们的模型基于对一个包含真实世界和合成数据集的大型时间序列语料库的解码器样式的注意力模型进行预训练,并...
Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures natural-language-processingimage-processingpytorchimage-captioningconvolutional-neural-networksinception-v3gated-recurrent-unitsencoder-decoder-architecture ...
Feb 4, 2025 Getting the right data and telling it to 'wait' turns an LLM into a reasoning model AI in practice Feb 4, 2025 Anthropic's AI security system blocks 95% of jailbreak attempts in tests AI in practice Feb 3, 2025 Google X spin-off has created a massive plant database to...
(VFMs), they are still restricted to tasks in a pre-defined form, struggling to match the open-ended task capabilities of LLMs. In this work, we present an LLM-based framework for vision-centric tasks, termed VisionLLM. This framework provides a unified perspective for vision and language ...
Our experiments involve teacher models with varying parameter scales and student models based on Flan-T5-large, with comparisons made against quantized LLMs. As shown in Table 10, when the teacher model has a larger parameter scale and encompasses more knowledge, the student model exhibits enhanced...
语言大模型主流是decoder-based的GPT生成式模型 图像表征模型主要还是transformer-ViT模型 图文模态对齐模型如 CLIP\ ALBEF\ BLIP 图文转换与多模型LLM如BLIP2 \ LLaVa 多模态增强的CV大模型 如 SAM、DINOV2 可以一致确认的是 大模型在各类型数据的泛化能力更优,但精度方面在不同的数据表现不同,总之更适合全场景...