Favorite Amazon Ads helps advertisers and brands achieve their business goals by developing innovative solutions that reach millions of Amazon customers at every stage of their journey. At Amazon Ads, we believe that what makes advertising effective is delivering relevant ads in the right context and at the right moment within

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Shared by AWS Machine Learning May 16, 2024

Favorite ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. ONNX Runtime is the runtime engine used for model inference and training with ONNX. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16,

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Shared by AWS Machine Learning May 16, 2024

Favorite Crafting new questions for exams and quizzes can be tedious and time-consuming for educators. The time required varies based on factors like subject matter, question types, experience level, and class level. Multiple-choice questions require substantial time to generate quality distractors and ensure a single unambiguous answer, and composing effective

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Shared by AWS Machine Learning May 16, 2024

Favorite Amazon Titan Text Premier, the latest addition to the Amazon Titan family of large language models (LLMs), is now generally available in Amazon Bedrock. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs,

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Shared by AWS Machine Learning May 15, 2024

Favorite Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. An important aspect of developing

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Shared by AWS Machine Learning May 15, 2024

Favorite This post is a guest post co-written with Tengyu Ma and Wen Phan from Voyage AI. Organizations today have access to vast amounts of data, much of it proprietary, which holds the potential to unlock valuable insights when used effectively in generative artificial intelligence (AI) applications. Retrieval Augmented Generation

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Shared by AWS Machine Learning May 15, 2024

Favorite In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. This is a fully

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Shared by AWS Machine Learning May 14, 2024

Favorite Fine-tuning large language models (LLMs) creates tailored customer experiences that align with a brand’s unique voice. Amazon SageMaker Canvas and Amazon SageMaker JumpStart democratize this process, offering no-code solutions and pre-trained models that enable businesses to fine-tune LLMs without deep technical expertise, helping organizations move faster with fewer technical

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Shared by AWS Machine Learning May 11, 2024

Favorite In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. As more companies adopt AI solutions, there’s a growing need to upskill both technical and non-technical teams in responsibly expanding AI usage. Getting hands-on

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Shared by AWS Machine Learning May 11, 2024

Favorite The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study, across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by

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Shared by AWS Machine Learning May 10, 2024