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Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” Unlike AI models that rely on specific tools for specific tasks, Claude’s general computer skills allow it to engage with a variety of applications, opening up an array of use cases.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

Flipboard

With a strong foundation in machine learning, cloud computing, and software engineering, Maitri has successfully implemented scalable AI models that drive business value and enhance user experiences. Vaibhav Singh is a Product Innovation Analyst at Verisk, based out of New Jersey.

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­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker

AWS Machine Learning Blog

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned.

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The Three Big Announcements by Databricks AI Team in June 2024

Marktechpost

In June 2024, Databricks made three significant announcements that have garnered considerable attention in the data science and engineering communities. These announcements focus on enhancing user experience, optimizing data management, and streamlining data engineering workflows.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. Data Science Proficiency : Skills in Data Analysis, statistics, and the ability to work with large datasets are critical for developing AI-driven insights and solutions.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Organizations are looking to accelerate the process of building new AI solutions. They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AI development tools to build their models on SageMaker AI.

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