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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

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Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both developers and end-users. DeepSeek AI, a …

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Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

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Scaling the capacity of language models has consistently proven to be a reliable approach for improving performance and unlocking new capabilities. Capacity can be primarily defined by two dimensions: the number of model parameters and the compute per example. While scaling typically involves increasing both, the precise interplay between these factors and their combined contribution …

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Develop a RAG-based application using Amazon Aurora with Amazon Kendra

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Generative AI and large language models (LLMs) are revolutionizing organizations across diverse sectors to enhance customer experience, which traditionally would take years to make progress. Every organization has data stored in data stores, either on premises or in cloud providers. You can embrace generative AI and enhance customer experience by converting your existing data into …

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Create a SageMaker inference endpoint with custom model & extended container

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Amazon SageMaker provides a seamless experience for building, training, and deploying machine learning (ML) models at scale. Although SageMaker offers a wide range of built-in algorithms and pre-trained models through Amazon SageMaker JumpStart, there are scenarios where you might need to bring your own custom model or use specific software dependencies not available in SageMaker …

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EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning

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This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in human-like non-verbal communication. Non-verbal cues such as facial expressions, gestures, and body movements play a crucial role in effective interpersonal interactions. Despite the advancements in robotic behaviors, existing methods often fall short in mimicking …

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How Palantir Secures Source Control

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How Palantir Secures Source Control (Software Supply Chain Security Series, #3) Editor’s Note: This is the third post in a series that shares insights from our journey improving our software supply chain security story across Palantir. This post focuses on our source control risk considerations and mitigations. Zero-Trust Development Software developers have many workflows for developing …

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Security best practices to consider while fine-tuning models in Amazon Bedrock

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Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. With the comprehensive capabilities of Amazon Bedrock, you have access to a diverse range of …

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