NLLB-200 sees only 0.13% of translated content deleted. That’s the lowest percentage across all machine translation services available on the platform, suggesting that the resulting translations are being understood & accepted. 3/5
MACHINE LEARNING
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NLLB-200 Achieves Superior Translation Quality Across All Languages
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Across all languages, NLLB-200 is seeing the best results for translations modified <10% compared to all other MT services on the platform — a strong signal for the quality of translations that are being generated. 4/5
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NLLB-200 becomes third most-used translation engine in four months
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NLLB-200 now represents 3.8% of all machine translations on the platform. This makes it the third most-used machine translation engine across all published translations just four months after launch. 2/5
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Recommendation to Follow Le Hou’s Research on Large Language Models
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People interested in large LMs should follow Le Hou (
@Hou_Le
) at @GoogleAI
, who made a new twitter account recently Le has done great work such as Flan, and self-play for reasoning (
https://
arxiv.org/abs/2210.11610). I'm sure we'll see more great work from him 🙂 -
AI-Powered Early Cancer Diagnosis Through Edge Intelligence
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Save lives! #AI in #Health How #tech #innovation in #screening by #Edge #ArtificialIntelligence & #Data #Security gives earlier #cancer diagnosis & care @IPC_aewin @insightdottech @intel https://
insight.tech/health/ai-and-
machine-learning-transform-cancer-treatment?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #lungs #ITInfluencer #IntelPartner #100DaysOfCode
#ML #IoT -
When to Use Machine Learning for Business Problems
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When do you need machine learning? Even if you're not from a #DataScience background, this article will help you understand when a #MachineLearning model is a good fit for your business problem. Includes use cases! Read: http://
ow.ly/rMNO50LtRzH -
Simple Deep Learning Tutorial: Classify Clothing Images with Keras
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A simple tutorial to start with Deep Learning: https://
tensorflow.org/tutorials/kera
s/classification
… • Images of clothing
• A few lines of code to classify them After a few minutes, you will have your first deep learning model running! -
Replicate invites users to demo their generative ML creations
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We’ll have time for you to demo your creations, too. We’d love to see what you’re working on in generative machine learning!
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DeepMind Highlights Scientists Using AlphaFold
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@DeepMind gives voice to scientists using AlphaFold https://actuia.com/actualite/deepmind-donne-la-parole-aux-scientifiques-utilisant-alphafold/
… #AI #artificialintelligence #science #health #research -
t-SNE: Dimensionality Reduction and High-Dimensional Data Visualization
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Today we delve into t-SNE, a solution for dimensionality reduction and visualization of higher dimensions in 2D and 3D.
— Satya Mallick (@LearnOpenCV) 7 novembre 2022
Head over to our full blog post where we discuss the what, the why and the how of t-SNE.https://t.co/QFLbuhJc2G#learnopencv #opencv #computervision #ai pic.twitter.com/YKlPKMbNHKToday we delve into t-SNE, a solution for dimensionality reduction and visualization of higher dimensions in 2D and 3D.
Head over to our full blog post where we discuss the what, the why and the how of t-SNE. https://
learnopencv.com/t-sne-t-distri
buted-stochastic-neighbor-embedding-explained/
… #learnopencv #opencv #computervision #ai