TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14840 · Jun 19

#other This collection of Alfred workflows lets you automate many tasks on your Mac, like showing charger power, generating random images, fixing zoom issues, editing SVGs, converting CSS styles, managing Git projects, switching audio devices, and more. These workflows save you time by performing complex or repetitive actions with simple commands or shortcuts. For example, you can quickly clone Git repos, switch audio inputs, or convert timestamps without leaving your keyboard. Using these tools boosts your productivity by making your computer easier and faster to control, especially if you use Alfred’s Powerpack to integrate and customize workflows for your needs[1][2][5]. https://github.com/sunzsh/favoritesWorkflow4Alfred

Hashtags

Results

1 similar post found

Search: #efficientmodels

当前筛选 #efficientmodels清除筛选
Machinelearning

@ai_machinelearning_big_data · Post #8519 · 09/11/2025, 06:21 PM

🚀 Релиз:Qwen3-Next-80B-A3B - эффективная модель заточенная на работа работу с очень длинным контекстом! 🔹80B параметров, но активируется только 3B на токен → тренировка и инференс 10x дешевле и быстрее, чем у Qwen3-32B (особенно при 32K+ контексте). 🔹Гибридная архитектура: Gated DeltaNet + Gated Attention → сочетает скорость и точность. 🔹Ultra-sparse MoE: 512 экспертов, маршрутизируется 10 + 1 общий. 🔹Multi-Token Prediction → ускоренное speculative decoding. 🔹 По производительности обходит Qwen3-32B и приближается к Qwen3-235B в рассуждениях и long-context задачах. 🟢Qwen3-Next-80B-A3B-Instruct показатели почти на уровне 235B flagship. 🟢Qwen3-Next-80B-A3B-Thinking превосходит Gemini-2.5-Flash-Thinking. ▪Попробовать: https://chat.qwen.ai ▪Анонс: https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list ▪ HuggingFace: https://huggingface.co/collections/Qwen/qwen3-next-68c25fd6838e585db8eeea9d ▪ ModelScope: https://modelscope.cn/collections/Qwen3-Next-c314f23bd0264a ▪Kaggle: https://kaggle.com/models/qwen-lm/qwen3-next-80b ▪ Alibaba Cloud API: https://alibabacloud.com/help/en/model-studio/models#c5414da58bjgj @ai_machinelearning_big_data #AI#LLM#Qwen#DeepLearning#MoE#EfficientModels#LongContext#Reasonin