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AWS Machine Learning Blog In the world of software development, code review and approval are important processes for ensuring the quality, security, and functionality of the software being developed. However, managers tasked with overseeing these critical processes often face numerous challenges, such as the following: Lack of technical expertise – Managers may not have an […]Continue reading
AWS Machine Learning Blog Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. In this post, […]Continue reading
AWS Machine Learning Blog Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models, trained on up to 6 trillion tokens of text. The Gemma family consists of two sizes: a 7 billion parameter model and a 2 […]Continue reading
AWS Machine Learning Blog Advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing the financial industry for use cases such as fraud detection, credit worthiness assessment, and trading strategy optimization. To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and […]Continue reading
AWS Machine Learning Blog This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos. Leidos is a Fortune 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. In this post, we discuss how Leidos worked with […]Continue reading
The Berkeley Artificial Intelligence Research Blog Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. Our Ph.D. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. […]Continue reading
Everyone’s Blog Posts – RecruitingBlogs Recruitment automation software has revolutionized the hiring process, empowering recruiters and hirers to streamline and optimize candidate sourcing and management. These powerful tools leverage artificial intelligence to identify qualified candidates, verify profiles, and simplify the entire recruitment journey. In this article, we present a list of the top ten recruitment automation software […]Continue reading
AWS Machine Learning Blog Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. Typically, this involves manually editing each image with photo software. This can take a lot of effort, especially for large batches of images. However, Amazon Bedrock […]Continue reading
AWS Machine Learning Blog This post is co-written with Sherwin Chu from Alida. Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage […]Continue reading
AWS Machine Learning Blog The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Self-service bots integrated with your […]Continue reading
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