π Revolutionizing AI with Qwen: Alibaba Cloud's Cutting-Edge Innovations! π
#AI #QwenSeries #AlibabaCloud #FutureOfTech #Innovation #OpenSource
Qwen Ai , Alibaba Cloudβs groundbreaking series of large-scale artificial intelligence models. From natural language processing to computer vision and audio understanding, Qwen is redefining whatβs possible in AI technology! π‘
π Key Highlights from the Qwen Series:
π‘ Qwen 2.5-Max (January 2025): The powerhouse of the family! This model boasts unmatched performance across benchmarks, surpassing even industry giants like DeepSeek-V3, GPT-4o, and Llama-3.1-405B. Truly a game-changer! π₯
πΌ Qwen2.5-VL (January 2025): Elevating multi-modal AI with enhanced image and video understanding, document processing, and creative generation. Perfect for designers, content creators, and researchers alike! π¨
π§ Qwen-Audio (November 2023): Universal audio understanding at its finest! Whether itβs human speech, music, or natural sounds, Qwen-Audio processes them all seamlessly, opening doors to countless audio-centric applications. πΆ
π Alibaba's Commitment to Open Source:
As part of their mission to democratize AI, Alibaba has released over 100 open-source AI models as of September 2024, empowering developers worldwide to build innovative solutions. Together, we're shaping the future of AI! π€
π Why Qwen:
The Qwen series isnβt just about advancing AIβitβs about pushing boundaries and making cutting-edge technology accessible to everyone. With each new release, Alibaba solidifies its position as a global leader in AI innovation.
#AI #QwenSeries #AlibabaCloud #FutureOfTech #Innovation #OpenSource
Forwarded from Addis AI Assistant
We just released Wikipedia Amharic on Hugging Face β thousands of Wikipedia articles translated to Amharic using our Aleph (α©) model.
It's one of the largest Amharic knowledge bases out there (55k rows). Parallel corpus, full metadata, Apache 2.0 licensed.
Useful for anyone building Amharic NLP models, translation systems, or just needing quality Amharic training data.
https://huggingface.co/datasets/addisai/wikipedia-amharic
Free to use commercially. Attribution appreciated.
#opensource @addisassistantai
It's one of the largest Amharic knowledge bases out there (55k rows). Parallel corpus, full metadata, Apache 2.0 licensed.
Useful for anyone building Amharic NLP models, translation systems, or just needing quality Amharic training data.
https://huggingface.co/datasets/addisai/wikipedia-amharic
Free to use commercially. Attribution appreciated.
#opensource @addisassistantai
huggingface.co
addisai/wikipedia-amharic Β· Datasets at Hugging Face
Weβre on a journey to advance and democratize artificial intelligence through open source and open science.