(2/3) Jais highlights:
-State-of-the-art 13B parameter bilingual Arabic-English LLM
-Trained on a new data set including 116 billion Arabic tokens and 279 billion English/code tokens -Bidirectional transfer learning
-Open source Model on Hugging Face: https://
huggingface.co/inception-mbzu
ai
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OPEN SOURCE
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New 13B Bilingual Arabic-English LLM Released Open Source
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Jais: Advanced Arabic LLM Trained on Condor Galaxy 1
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(3/3) Jais was trained on the newly unveiled Condor Galaxy 1 (CG-1) AI supercomputer, built by the G42 – Cerebras strategic partnership. To learn more, check out the Press Release: https://
cerebras.net/press-release/
meet-jais-the-worlds-most-advanced-arabic-large-language-model-open-sourced-by-g42s-inception
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Wikipedia Data Usage in NLP Research Papers Analysis
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Asking again since I'm still curious. Has anyone looked into this? (E.g. what % of papers in the @aclanthology use Wikipedia as a data source…)
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CoTracker: Advanced Pixel Tracking for Video Analysis
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CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy.
— AI at Meta (@AIatMeta) 29 août 2023
Code ➡️ https://t.co/d0igWWYFOu pic.twitter.com/hSO0wbqNu9CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy. Code https://
bit.ly/3KZoLcQ -
CoTracker: Multi-point Video Tracking with Transformer Networks
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New on @huggingface — CoTracker simultaneously tracks the movement of multiple points in videos using a flexible design based on a transformer network — it models correlation of the points in time via specialized attention layers.
— AI at Meta (@AIatMeta) 29 août 2023
🤗 Try CoTracker ➡️ https://t.co/IdaUrH9Xxr pic.twitter.com/WogyQI3F4vNew on @huggingface — CoTracker simultaneously tracks the movement of multiple points in videos using a flexible design based on a transformer network — it models correlation of the points in time via specialized attention layers. Try CoTracker https://
bit.ly/3swQFqt -
Open Source AI: Inevitable Capabilities and Alignment Risks
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Open source is all you need to make inevitable any feat that one group can do and no one else can stop afterwards. This has both good and bad effects on society. The extinction issue, and more generally the present impossibility of aligning good ASIs to counter bad ones, makes
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AI Democratisation: Evolution of Accessibility and Meaning
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It's true that the word 'democracy' originates from the Greek term for 'rule of the people'. However, in modern contexts, words often evolve and take on different meanings. When we speak of 'AI democratisation', we typically refer to making AI accessible and available to
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Google’s Missed Opportunities: Hadoop and PyTorch Success Stories
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The story for both is pretty similar: Google didn't fully invest in the success of either, leading to another group creating an open source version and swiping the hearts and minds of developers. The former in the form of Hadoop, the latter with PyTorch (stewarded by Meta)
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Developers Exploring Llama 2 Capabilities on Vertex AI Platform
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We can’t wait to see what devs are able to build as they get hands on with Llama 2 on Vertex AI!
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Llama 2 and Code Llama Models Now Available in Vertex AI
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Llama 2 and Code Llama models are now available in the Vertex AI Model Garden — more details from @GoogleCloudTech