Bot API was updated to version 6.4
Forums
• Bots can now open, close, edit and toggle the visibility of the General Topic.
• Added support for new service messages, like ForumTopicEdited, GeneralForumTopicHidden and more.
• The method sendChatAction can now send actions to any thread or topic via the message_thread_id parameter.
Spoilers
• Added spoiler detection via the new has_media_spoiler field in the Message class.
• Bots can send media covered by a spoiler animation via the has_spoiler field in sendPhoto, sendVideo and sendAnimation.
Web Apps
• Added a native QR scanner popup, controllable via showScanQrPopup and closeScanQrPopup.
• Web Apps launched from the attachment menu can request clipboard text via readTextFromClipboard.
• Added a platform field, showing which platform the web app is being used on.
General
• Added the is_persistent field, to keep ReplyKeyboards open by default.
See the full changelog for details on the official website.
#update#BotAPI
https://t.me/+VMLgtEPNL49jZmNh
#DL
📱
Zeus New Pytorch Ecosystem Tool
Zeus is an open source toolkit for measuring and optimizing power consumption of deep learning workloads.
🖥Github
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Main channel: @repo_science
Coupons: @freecoupons_reposcience
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#dl
Park, Chanwook, Sourav Saha, Jiachen Guo, Hantao Zhang, Xiaoyu Xie, Miguel A. Bessa, Dong Qian, et al. 2025. “Unifying Machine Learning and Interpolation Theory via Interpolating Neural Networks.” Nature Communications 16 (1): 1–12.
https://www.nature.com/articles/s41467-025-63790-8
#dl
A few cool ideas in this model.
Introducing Gemma 3n: The developer guide - Google Developers Blog
https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/
#dl
There is this new lib called scale. One could compile CUDA code to use it on AMD GPU.
https://docs.scale-lang.com/manual/how-to-use/
I don't know who is more pissed off, NVidia or AMD.
#dl
This repo is really nice.
yuanchenyang/smalldiffusion: Simple and readable code for training and sampling from diffusion models
https://github.com/yuanchenyang/smalldiffusion
#dl
Google & USC benchmarked a prompt based forecasting method, and the results are amazing.
Cao D, Jia F, Arik SO, Pfister T, Zheng Y, Ye W, et al. TEMPO: Prompt-based Generative Pre-trained Transformer for time series forecasting. arXiv [cs.LG]. 2023. Available: http://arxiv.org/abs/2310.04948