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Favorite The Qwen 2.5 multilingual large language models (LLMs) are a collection of pre-trained and instruction tuned generative models in 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B (text in/text out and code out). The Qwen 2.5 fine tuned text-only models are optimized for multilingual dialogue use cases and outperform both
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Shared by AWS Machine Learning March 13, 2025
Favorite The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This
Read More Shared by AWS Machine Learning March 13, 2025
Favorite Open foundation models (FMs) allow organizations to build customized AI applications by fine-tuning for their specific domains or tasks, while retaining control over costs and deployments. However, deployment can be a significant portion of the effort, often requiring 30% of project time because engineers must carefully optimize instance types
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Favorite This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular. However, inference of
Read More Shared by AWS Machine Learning March 13, 2025
Favorite Compelling AI-generated images start with well-crafted prompts. In this follow-up to our Amazon Nova Canvas Prompt Engineering Guide, we showcase a curated gallery of visuals generated by Nova Canvas—categorized by real-world use cases—from marketing and product visualization to concept art and design exploration. Each image is paired with the
Read More Shared by AWS Machine Learning March 12, 2025
Favorite In today’s fast-paced world, time is of the essence and even basic tasks like grocery shopping can feel rushed and challenging. Despite our best intentions to plan meals and shop accordingly, we often end up ordering takeout; leaving unused perishable items to spoil in the refrigerator. This seemingly small
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Favorite DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. A key distinguishing feature is its reinforcement learning step, which was used to refine the model’s responses beyond the standard pre-training
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Favorite Based on original post by Dr. Hemant Joshi, CTO, FloTorch.ai A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAI’s GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. The Amazon Nova family of
Read More Shared by AWS Machine Learning March 11, 2025
Favorite Today, we’re announcing the general availability (GA) of multi-agent collaboration on Amazon Bedrock. This capability allows developers to build, deploy, and manage networks of AI agents that work together to execute complex, multi-step workflows efficiently. Since its preview launch at re:Invent 2024, organizations across industries—including financial services, healthcare, supply
Read More Shared by AWS Machine Learning March 10, 2025
Favorite DeepSeek-R1 models, now available on Amazon Bedrock Marketplace, Amazon SageMaker JumpStart, as well as a serverless model on Amazon Bedrock, were recently popularized by their long and elaborate thinking style, which, according to DeepSeek’s published results, lead to impressive performance on highly challenging math benchmarks like AIME-2024 and MATH-500,
Read More Shared by AWS Machine Learning March 10, 2025