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 …
By Akshay Krishnaswamy & Ted Mabrey The AI revolution is emerging at a crucial time for the Western world. The geopolitical chessboard is more complex than at any time since the fall of the Berlin Wall; institutions across the public and private sectors face a deepening legitimacy crisis; and as every enterprise fights to execute its …
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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In the same way that terrestrial life evolved from ocean swimmers to land walkers, soft robots are progressing, too, thanks to recent research in battery development and design.
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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TL;DR We followed up with the NotebookLM team on our article “What is Elon Musk’s IQ?“ Image by Midjourney Podcast Transcript Bob – 0:00 Right Then today we’re taking a deep dive into something. You sent over a rather cheeky article from the AI blog asking, what is Elon Musk‘s IQ? Oh, right, yeah, the …
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 …
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 …
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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Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why” behind an agent’s actions – its reasoning, decision-making process, and the path it takes to reach a solution. That’s why today, we’re thrilled to announce Vertex AI Gen …
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