​ With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned by agents and to check that they align with their goals becomes all the more apparent in light of this.… Read More »Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ What is PYTHONPATH in Python and how to add to it in Windows? You may need to use a custom module or package that is not included in the standard library. In these cases, you will need to add the directory containing the package… Read More »Add Package, Directory to PYTHONPATH in Windows? AlixaProDev Spark By {Examples}

​ 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

​ 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

​ 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

​ 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

​ 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

​ Self-supervised learning has recently made significant strides, ushering in a new age for voice recognition. In contrast to earlier studies, which mainly concentrated on enhancing the quality of monolingual models for widely used languages, “universal” models have become more prevalent in more recent research.… Read More »Google AI Introduces Universal Speech Model (USM): A Family of State-of-the-Art Speech Models with 2B Parameters Trained on 12 Million Hours of Speech and 28 Billion Sentences of Text Niharika Singh Artificial Intelligence Category – MarkTechPost