Embodiments disclose a context augmentation module to supplement and aggregate data from multiple sources, extrapolate contextual data, and augment the data with the contextual data on transactions conducted by a user. By gathering data from multiple sources associated with the user, contextual data may...
The simplest context augmentation method is to supply documents to the model along with your query, and for that you might not need LlamaIndex. Supplying documents works fine unless the total size of the documents is larger than the context window of the model you’re using, which was a ...
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A very simple context menu component for Vue3 一个简洁美观简单的Vue3右键菜单组件 - imengyu/vue3-context-menu
we propose an Intent-driven Dialogue Information Augmentation module to augment the dialogue information, which can track dialogue states more effectively. Moreover, we mask noisy information from DST data and rewrite user's input in the Intent-driven Examples Retrieval module, where we retrieve simil...
See Introspective Contextual Augmentation for more details. Multi-Platform: Runs on Linux, macOS, and Windows, adapting to each environment automatically by collecting context of the running system. Dual-Mode Operation: Functions both as a GUI application and a stand-alone terminal tool for quick ...
System context adaptation may refer to adjusting the offered user interface to the detected Device type, transmit a lower resolution or frames-per-second video to mitigate network congestion problems (Network conditions), offer a lower-resolution augmentation in mobile augmented reality navigation, as ...
We first train the models with the FlyingChairs dataset [2] with L2 loss and the Slong learning rate schedule, with augmentation scheme of random flipping and cropping of size 448 × 384 introduced by [14]. Secondly, we fine-tune the models on the FlyingThings3D dataset [48] using the ...
DDRNet-23-slim yields 77.4% mIoU at 102 FPS on Cityscapes test set and 74.7% mIoU at 230 FPS on CamVid test set. With widely used test augmentation, our method is superior to most state-of-the-art models and requires much less computation. Codes and trained models are available online. ...
Table 3: Ablation experiments of Adaptive Context Block on Cityscapes validation set, #n denotes the number of Adaptive Context Block, MG denotes multi-grid dilated convolution, DA denotes data augmentation with multi-scale input during training phase, MS denotes multi-scale testing. Method mIoU(%...