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Meet PaLM-E: A New 562-Billion Parameter Embodied Multimodal Language Model That Performs Tasks Such As Robotic Manipulation Planning, Visual QA Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Strong reasoning abilities are displayed by large language models (LLMs) in a variety of fields, including conversation, step-by-step reasoning, math problem-solving, and code authoring. Although training LLMs on vast amounts of textual data can produce representations related to their physical environment, connecting those representations… Read More »Meet PaLM-E: A New 562-Billion Parameter Embodied Multimodal Language Model That Performs Tasks Such As Robotic Manipulation Planning, Visual QA Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Meet In-N-Out: A Face Video Inversion and Editing Framework with Volumetric Decomposition Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

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​ Video editing is an essential artificial intelligence (AI) process critical to creating visual content. Video editing involves manipulating, re-arranging, and enhancing video footage to produce a final product with desired characteristics. This process can be time-consuming and labor-intensive, but AI advancements have made editing… Read More »Meet In-N-Out: A Face Video Inversion and Editing Framework with Volumetric Decomposition Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

Use Snowflake as a data source to train ML models with Amazon SageMaker Amit Arora AWS Machine Learning Blog

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​ Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for… Read More »Use Snowflake as a data source to train ML models with Amazon SageMaker Amit Arora AWS Machine Learning Blog

How Marubeni is optimizing market decisions using AWS machine learning and analytics Hernan Figueroa AWS Machine Learning Blog

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​ This post is co-authored with Hernan Figueroa, Sr. Manager Data Science at Marubeni Power International. Marubeni Power International Inc (MPII) owns and invests in power business platforms in the Americas. An important vertical for MPII is asset management for renewable energy and energy storage… Read More »How Marubeni is optimizing market decisions using AWS machine learning and analytics Hernan Figueroa AWS Machine Learning Blog

Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL Dilshad Raihan Akkam Veettil AWS Machine Learning Blog

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​ Reinforcement learning (RL) encompasses a class of machine learning (ML) techniques that can be used to solve sequential decision-making problems. RL techniques have found widespread applications in numerous domains, including financial services, autonomous navigation, industrial control, and e-commerce. The objective of an RL problem… Read More »Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL Dilshad Raihan Akkam Veettil AWS Machine Learning Blog

Leveraging TensorLeap for Effective Transfer Learning: Overcoming Domain Gaps Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

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​ Nowadays, constructing a large-scale dataset is the prerequisite to achieving the task in our hands. Sometimes the task is a niche, and it would be too expensive or even not possible to construct a large-scale dataset for it to train an entire model from… Read More »Leveraging TensorLeap for Effective Transfer Learning: Overcoming Domain Gaps Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost