Honored to be chosen as one of @evbizmag
's "Top 20 Canada Technology Solution Providers 2022"! We're committed to making a difference in #tech by accelerating #AI #inference for diverse #neuralnetworks using our #energycentric computing architecture. https://
bit.ly/3wIBmtx
AI
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Top 20 Canada Tech Provider Accelerates AI Inference
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AI Maturation Requires Transparency, Openness and Collaboration
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What AI needs to keep maturing & progressing safely is more transparency, openness and collaboration!
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Flan-T5 Outperforms T5 in Finetuning Efficiency
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Key takeaway: finetuning Flan-T5 is better and more compute-efficient than finetuning T5. In other words, Flan-T5 > T5 for every real scenario I can think of. Don't use the pre-trained checkpoint—always finetune!
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AI Music Market Gap: Lyrics and Singing Generation
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Biggest gap in the AI music market remains lyrics and singing (listen to the opera example in the first video). All public AI music models are generating background-only or soundtrack-style music. Lyrics and singing will be a game changer.
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Test Riffusion: A Less Powerful Text-to-Music Model
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If you would like to test out a similar (though less powerful) text-to-music model, try out Riffusion here: https://
riffusion.com – I have shared several videos of this platform to my Instagram and TikTok. -
Google’s Paper Addresses Cultural Concerns in AI Music Models
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Google's paper also addresses concerns around underrepresented cultures as well as cultural appropriation and calls for more research/collab before any model is released for public use. The paper is best suited for an intermediate AI folks with a basic understanding of music.
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Fiverr adds AI Services to attract AI-savvy freelancers
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Fiverr looking to attract AI-savvy freelancers as it adds "AI Services" to platform: https://
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Playground AI Beta Achievement Recognition for Suhail
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This was done using @playground_ai beta. Nice work @Suhail
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Google releases instruction tuning collection for improved language model reasoning
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Today we’re releasing a new collection of tasks, templates and methods for instruction tuning of #ML models. Training on this collection can enable language models to reason more competently over arbitrary, unseen tasks. Learn all about it at: https://
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Transformer Variations: Major Refactoring Update Three Years Later
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Cannot believe it is almost 3 years since my 2020 post on variations of Transformer. I spent some time and did a big refactoring of that old post with new section structure and new papers. Still missing a few items tho, will add them in slowly: