As language models increase in scale they sometimes exhibit various useful emergent capabilities. In today’s post, we explore this phenomenon to better understand its dependence on model properties and its potential impact in applications. Read more at https://
goo.gle/3hvJMAb
@googleai
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Emergent Capabilities in Large-Scale Language Models Explained
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SegCLR: Contrastive Learning for Cellular Morphology Analysis
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Announcing Segmentation-Guided Contrastive Learning of Representations (SegCLR), a method that trains rich, generic representations of cellular morphology and ultrastructure without manual effort and can identify cell types from only small cell fragments→ https://t.co/7Ol91ZAhdx pic.twitter.com/Ff7qCYczxp
— Google AI (@GoogleAI) 9 novembre 2022Announcing Segmentation-Guided Contrastive Learning of Representations (SegCLR), a method that trains rich, generic representations of cellular morphology and ultrastructure without manual effort and can identify cell types from only small cell fragments→ https://
goo.gle/3G2uIEh -
ReAct: Synergizing Reasoning and Acting in Language Models
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Learn how ReAct, a general paradigm for synergizing reasoning and acting in language models, presents more interpretable, diagnosable, and controllable task-solving trajectories while outperforming reasoning and acting only paradigms. Read the blog → https://
goo.gle/3TiNcDp -
Infinite Nature: AI generates detailed landscape flythroughs from single images
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Read about our latest work from a research effort called Infinite Nature, which can produce high-quality flythroughs of richly detailed natural landscapes starting from a single seed image, using a system trained only on still photographs → https://t.co/sYKGpz1ivC pic.twitter.com/jQ3hZ5s0aO
— Google AI (@GoogleAI) 7 novembre 2022Read about our latest work from a research effort called Infinite Nature, which can produce high-quality flythroughs of richly detailed natural landscapes starting from a single seed image, using a system trained only on still photographs → https://
goo.gle/3hqHty4 -
Code as Policies: Robot Helper Executes Natural Language Tasks
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From our demo floor at AI@, check out Code as Policies at work. This helper robot is able to compute and execute a task given via natural language. Read more → https://t.co/hTJ9kaZJbq pic.twitter.com/XBTQAqg0nS
— Google AI (@GoogleAI) 4 novembre 2022From our demo floor at AI@, check out Code as Policies at work. This helper robot is able to compute and execute a task given via natural language. Read more → https://
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Reincarnating RL: Efficient Reinforcement Learning from Prior Computation
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Training #ReinforcementLearning algorithms from scratch is computationally intensive and time consuming. We propose an alternate approach, Reincarnating RL, that integrates prior computation into the RL training workflow. Learn more and grab the code at https://t.co/XwfX0uakJZ pic.twitter.com/ktaQznCD1a
— Google AI (@GoogleAI) 3 novembre 2022Training #ReinforcementLearning algorithms from scratch is computationally intensive and time consuming. We propose an alternate approach, Reincarnating RL, that integrates prior computation into the RL training workflow. Learn more and grab the code at https://
goo.gle/3Ws2TLk -
Google Leaders Discuss Responsible AI Innovation Strategy
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Starting now: James Manyika, SVP of Technology and Society, and Marian Croak, VP of Engineering @Google will discuss the importance of innovating responsibly and what factors we keep top of mind in our research. Tune in ↓
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1000 Languages Initiative Expands AI Model Support Worldwide
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To make models that are universally helpful & accessible, they need to reflect the diversity of world languages.
— Google AI (@GoogleAI) 2 novembre 2022
Today, we’re announcing the 1000 Languages Initiative, an ambitious research project to build an AI model that will support the top 1,000 languages of the world (3/3) pic.twitter.com/iH7xmvMdilTo make models that are universally helpful & accessible, they need to reflect the diversity of world languages. Today, we’re announcing the 1000 Languages Initiative, an ambitious research project to build an AI model that will support the top 1,000 languages of the world (3/3)
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PaLM Language Model Enables New Robotics Possibilities
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PaLM, our latest & most capable language model, can unlock new possibilities in robotics.
— Google AI (@GoogleAI) 2 novembre 2022
For example, read about Code as Policies, an approach that, when given natural language instructions, uses language models to write code that controls robots→ https://t.co/hTJ9kbgMdq (2/3) pic.twitter.com/5j11oPVSsJPaLM, our latest & most capable language model, can unlock new possibilities in robotics. For example, read about Code as Policies, an approach that, when given natural language instructions, uses language models to write code that controls robots→ https://
goo.gle/3U5CmCg (2/3) -
VP Research Announces Natural Language Understanding Progress
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We’re committed to pushing the state-of-the-art in language-based AI. @ZoubinGhahrama1
, VP of Research, will update us on our latest progress in natural language understanding and announce a new initiative ↓ (1/3)