🐈⬛ Edge#216: DeepMind’s New Super Model can Generalize Across Multiple Tasks on Different Domains
Was this email forwarded to you? Sign up here 🐈⬛ Edge#216: DeepMind’s New Super Model can Generalize Across Multiple Tasks on Different DomainsGato is able to master tasks such as image classification, question answering or controlling a robotic armOn Thursdays, we dive deep into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter. 💥 What’s New in AI: DeepMind’s New Super Model can Generalize Across Multiple Tasks on Different DomainsMost deep learning models specialize in mastering a single task in a single domain. Recently, we have seen the emergence of multi-task models in single domains, such as transformers like GPT-3 in the language space. We have also seen models like OpenAI’s Dall-E that can combine knowledge from different domains to master a single task. However, having a single model mastering multiple tasks across heterogenous domains remains an elusive goal for deep learning. DeepMind is known for taking some of the toughest challenges in AI – with their new research, they have set their eyes on neural network architectures that can generalize across tasks and domains. What they came up with is fascinating! ... Keep reading with a 7-day free trialSubscribe to TheSequence to keep reading this post and get 7 days of free access to the full post archives. A subscription gets you:
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🏛 Edge#215: Pre-Train Model Testing and the Pillars of Robust ML
Tuesday, August 9, 2022
In this issue: we discuss Pre-Train Model Testing; we overview the pillars of robust machine learning; we explore Great Expectations
🏷 Data Labeling for ML: Survey
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About 45% of the time in data science projects is consumed by processing and labeling data. It's fair to say that data labeling is one of the most expensive tasks of any machine learning project.
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📝 Guest post: Auto Labeling to Power Insurance Automation: Quickly Label Quality Datasets*
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In this guest post, Superb AI shares a use case with their client Autonet that focuses on streamlining the claims experience in the auto insurance industry, using computer vision, AI, and domain
🗺 Edge#214: NLLB-200, Meta AI’s New Super Model that Achieved New Milestones in Machine Translations Across 200 L…
Thursday, August 4, 2022
One of the most important achievements to bring machine translation to low-resource languages
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