Definitely a limitation. I see some
progress, though. Back in the day, we had to collect an entire training dataset and train a new model!
MACHINE LEARNING
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Progress in Model Training: From Full Dataset Collection to Modern Approaches
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AI eases winter hospital pressures through pioneering technology
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Pioneering artificial intelligence could ease winter pressures on hospitals https://
news-medical.net/news/20221107/
Pioneering-artificial-intelligence-could-ease-winter-pressures-on-hospitals.aspx
… @NewsMedical #Healthcare #AI #DataScience #Python #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #DeepLearning #DigitalTransformation #MachineLearning -
NLLB-200 Achieves Lowest Content Deletion Rate Among Translation Services
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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
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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 🙂 -
9 Distance Measures in Data Science with Algorithms
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9 Distance Measures in data science with algorithms. via: @gp_pulipaka
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GEM-2: Novel Method for Full-Range Many-Body Molecular Interactions
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Combining data-driven & first-principles approaches to build a model, we proposed GEM-2, a novel method that comprehensively considers full-range many-body interactions in molecules.
Paper: https://
arxiv.org/abs/2208.05863
GitHub at #PaddlePaddle: https://
github.com/PaddlePaddle/P
addleHelix/tree/dev/apps/pretrained_compound/ChemRL/GEM-2
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MIT Guide: Successfully Deploy and Scale AI Machine Learning
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MIT: What You Need To Know To Successfully Deploy & Scale #AI #MachineLearning https://
mitsloan.mit.edu/ideas-made-to-
matter/mit-sloan-research-artificial-intelligence-and-machine-learning
… @pierrepinna @sallyeaves @PawlowskiMario @Xbond49 @gvalan @psb_dc @SpirosMargaris @JimMarous @HaroldSinnott @mikeflache @Shi4Tech @Nicochan33 @ahier #DeepLearning #Fintech #5G -
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