Favorite Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon S3) for tasks such as
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Shared by AWS Machine Learning September 27, 2024
Favorite Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod, Dream Machine
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Shared by AWS Machine Learning September 27, 2024
Favorite Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce is increasingly challenging, as a
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Shared by AWS Machine Learning September 27, 2024
Favorite Today, we are excited to announce the availability of Llama 3.2 in Amazon SageMaker JumpStart and Amazon Bedrock. The Llama 3.2 models are a collection of state-of-the-art pre-trained and instruct fine-tuned generative AI models that come in various sizes—in lightweight text-only 1B and 3B parameter models suitable for edge
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Shared by AWS Machine Learning September 26, 2024
Favorite Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs), providing enhanced capabilities and broader applicability across various use cases. With a focus on responsible innovation
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Shared by AWS Machine Learning September 26, 2024
Favorite In the realm of generative artificial intelligence (AI), Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies
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Shared by AWS Machine Learning September 26, 2024
Favorite In today’s digital age, social media has revolutionized the way brands interact with their consumers, creating a need for dynamic and engaging content that resonates with their target audience. There’s growing competition for consumer attention in this space; content creators and influencers face constant challenges to produce new, engaging,
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Shared by AWS Machine Learning September 26, 2024
Favorite The Employee Productivity GenAI Assistant Example is a practical AI-powered solution designed to streamline writing tasks, allowing teams to focus on creativity rather than repetitive content creation. Built on AWS technologies like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, this tool automates the creation of customizable templates and
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Shared by AWS Machine Learning September 26, 2024
Favorite The climate crisis is one of the greatest challenges facing our world today. Its impacts are far-reaching, affecting every aspect of our lives—from public health and food security to economic stability and social justice. What’s more, the effects of climate change disproportionately burden the world’s most vulnerable populations, exacerbating
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Shared by AWS Machine Learning September 25, 2024
Favorite This post is co-written with Deepali Rajale from Karini AI. Karini AI, a leading generative AI foundation platform built on AWS, empowers customers to quickly build secure, high-quality generative AI apps. GenAI is not just a technology; it’s a transformational tool that is changing how businesses use technology. Depending
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Shared by AWS Machine Learning September 25, 2024
Shared by AWS Machine Learning September 27, 2024
