Favorite In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses a challenge for enterprises. This
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Shared by AWS Machine Learning November 30, 2023
Favorite In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing all industries. However, harnessing this
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Shared by AWS Machine Learning November 30, 2023
Favorite Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare
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Shared by AWS Machine Learning November 30, 2023
Favorite Mira Lane explores how AI is empowering creativity with pioneering artist Refik Anadol. View Original Source (blog.google/technology/ai/) Here.
Favorite Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. At Amazon,
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Shared by AWS Machine Learning November 29, 2023
Favorite The current draft v. 0.0.3 of the Open Source AI Definition borrows wordings from the GNU Manifesto’s golden rule stating: If I like a program, I must be able to share it with others who like it. The GNU Manifesto The GNU Manifesto refers to “program” (not “AI system”),
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Shared by voicesofopensource November 28, 2023
Favorite Artificial intelligence (AI) continues to transform how we do business and serve our customers. AWS offers a range of pre-trained AI services that provide ready-to-use intelligence for your applications. In this post, we explore the new AI service capabilities and how they are enhanced using foundation models (FMs). We
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Shared by AWS Machine Learning November 28, 2023
Favorite This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. In Part 1 and Part 2, we show how the Salesforce Data Cloud and Einstein Studio integration with
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Shared by AWS Machine Learning November 28, 2023
Favorite Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can
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Shared by AWS Machine Learning November 28, 2023
Favorite Today, Amazon SageMaker launches a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library. With these upgrades, you can effortlessly access state-of-the-art tooling to optimize large language models (LLMs) on SageMaker and achieve price-performance benefits – Amazon SageMaker LMI
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Shared by AWS Machine Learning November 28, 2023
Shared by AWS Machine Learning November 30, 2023
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