DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Modelcosts and inference efficiency of DeepSeek 67B (Dense) and DeepSeek-V2. Contents 1 Introduction 4 2 Architecture 6 2.1 Multi-Head Latent Attention: Boosting Inference Efficiency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.2.3 Training and Inference Efficiency . . . . . . . . . . . . . . . . . . . . . . . . 16 4 Alignment 16 4.1 Supervised Fine-Tuning Multi-Head Attention (MHA) (Vaswani et al., 2017) poses a significant obstacle to the inference efficiency of LLMs. Various approaches have been explored to address this issue, including Grouped-Query Attention0 码力 | 52 页 | 1.23 MB | 1 年前3
Krita 5.2 Manualon the brush. The Instant Preview has a super-secret feature: when you press the instant preview label, and then right click it, it will show a threshold slider. This slider determines at what brush size To assign a color label to your layer or layer group you have to on the layer and choose one of the given colors from the context menu. To remove an already existing color label you can click on the Labels Once you assign color labels to your layers, you can then filter layers having similar color label by clicking on one or more colors in the list from the drop-down situated in the top-right corner0 码力 | 1502 页 | 79.07 MB | 1 年前3
Krita 5.2 브로셔on the brush. The Instant Preview has a super-secret feature: when you press the instant preview label, and then right click it, it will show a threshold slider. This slider determines at what brush size To assign a color label to your layer or layer group you have to on the layer and choose one of the given colors from the context menu. To remove an already existing color label you can click on the Labels Once you assign color labels to your layers, you can then filter layers having similar color label by clicking on one or more colors in the list from the drop-down situated in the top-right corner0 码力 | 1531 页 | 79.11 MB | 1 年前3
Krita 5.2 マニュアル
We have a Krita Brush tip page on how to create your own GIH brush. *.heif and *.avif The High Efficiency Image Format (*.heif, *.heic), and its cousin, AV1 Image Format (*.avif) are formats which use Default value is 10.000 cd/m² for conversion to PQ. 参考 High Efficiency Image File Format on Wikipedia [https://en.wikipedia.org/wiki/High_Efficiency_Image_File_Format] [ituh273] (1,2,3,4) H.273 : Coding-independent call the images that make up your animation keyframes. Each keyframe can also be assigned a Color Label, as a matter of personal organization and workflow. Blank Keyframe Within the frame table, keyframes0 码力 | 1591 页 | 79.16 MB | 1 年前3
Trends Artificial Intelligence
JP Morgan End-to-End AI Modernization – 2023-2025E, per JP Morgan We have high hopes for the efficiency gains we might get [from AI]… …Certain key subsets of the users tell us they are gaining several alerts. It leverages machine learning to improve decision-making at the restaurant level, enhancing efficiency, reducing waste, and supporting staff productivity. ‘Traditional’ Enterprise AI Adoption = Rising – one that builds on recent exponential gains in model scale, training data, and computational efficiency. Timelines for AGI remain uncertain, but expert expectations have shifted forward meaningfully0 码力 | 340 页 | 12.14 MB | 5 月前3
XDNN TVM - Nov 2019Set Convolution, Max Pool etc. ˃ Any Network, Any Image Size ˃ High Frequency & High Compute Efficiency ˃ Supported on U200 – 3 Instances U250 – 4 Instances Amazon F1 ˃ ~1536 DSPs @ 700MHz Execution WB WR SCHEDULER CTRL SIGNALS MISC CALC AVG POOL MAX POOL ROI POOL ELEMENT WISE ... Efficiency > 50% for mainstream neural networks >> 4© Copyright 2018 Xilinx Inference Flow >> 5 MxNet0 码力 | 16 页 | 3.35 MB | 6 月前3
OpenAI - AI in the Enterprisescale up to significant business impact. But scaling up also meant using more tokens. To increase efficiency, OpenAI and Indeed worked together to fine-tune a smaller GPT model that was able to deliver connections. The result: end-to-end automation, freeing teams from repetitive tasks and boosting efficiency across the enterprise. 22 AI in the EnterpriseThe trusted AI enterprise platform Security and0 码力 | 25 页 | 9.48 MB | 6 月前3
GNU Image Manipulation Program User Manual 2.10Self-explanatory. 6.1.2.2 Export Image as HEIF/HEIC HEIF stands for High Efficiency Image File Format. Also known as HEIC High Efficiency Image Coding. Twice as much information can be stored in a HEIF image parameters in a minute): (script-fu-register ”script-fu-text-box” ;func name ”Text Box” ;menu label ”Creates a simple text box, sized to fit\ around the user’s choice of text,\ font, font size, and Creates an adjustment widget in the dialog. SF-ADJUSTMENT ”label” ’(value lower upper step_inc page_inc digits type) Widget arguments list Element: ”label”, Description: Text printed before the widget. Element:0 码力 | 1070 页 | 44.54 MB | 1 年前3
Krita 5.2 中文手册显示器的最大亮度。对于转换到 PQ,默认值为 10.000 cd/m²。 参见 高效率图像文件格式的维基百科文章 [https://en.wikipedia.org/wiki/High_Efficiency_Image_File_Format] [ituh273] (1,2,3,4) H.273 : Coding-independent code points for video signal Getting in Touch Contributing Patches Forking on Gitlab Update the master branch in your fork Label workflow How to prepare your commits for a merge request Getting started with KDE Software Krita official repository’s master branch already. Label workflow Make sure the state of your merge request is labeled correctly. The picture below shows the basic label workflow that your merge request should go0 码力 | 1594 页 | 79.20 MB | 1 年前3
Krita 5.2 官方文档中文版 2023-12-08A显示器的最大亮度。对于转换到 PQ,默认值为 10.000 cd/m²。 参见 高效率图像文件格式的维基百科文章 [https://en.wikipedia.org/wiki/High_Efficiency_Image_File_Format] [ituh273] (1,2,3,4) H.273 : Coding-independent code points for video signal Philosophy Getting in Touch Contributing Patches Forking on Gitlab Update the master branch in your fork Label workflow How to prepare your commits for a merge request Getting started with KDE Software Krita official repositoryʼs master branch already. Label workflow Make sure the state of your merge request is labeled correctly. The picture below shows the basic label workflow that your merge request should go0 码力 | 1685 页 | 91.87 MB | 1 年前3
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