Machine learning (ML) is considered the largest subarea of artificial intelligence (AI) , studying the development of software systems that learn from data by themselves to perform a task, without being explicitly programmed with the instructions to address it.
This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model …
Read more “Meta SAM 2.1 is now available in Amazon SageMaker JumpStart”
The cease-work order at the Consumer Financial Protection Bureau won’t just affect lawsuits and enforcement actions. It will stall regulation that could govern tech companies like Apple and Google.
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.
Wayfair’s Director of AI & Visual Media on how AI is transforming retail visual content—enhancing personalization, brand consistency, and efficiency at scale
LangChain is a robust framework conceived to simplify the developing of LLM-powered applications — with LLM, of course, standing for large language model.
*Primary Contributors Attention is a key part of the transformer architecture. It is a sequence-to-sequence mapping that transforms each sequence element into a weighted sum of values. The weights are typically obtained as the softmax of dot products between keys and queries. Recent work has explored alternatives to softmax attention in transformers, such as ReLU …
Read more “Theory, Analysis, and Best Practices for Sigmoid Self-Attention”
This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC. The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions using AI can be challenging, requiring …
Read more “Transforming credit decisions using generative AI with Rich Data Co and AWS”
At Google Cloud, we strive to make it easy to deploy AI models onto our infrastructure. In this blog we explore how the Cross-Cloud Network solution supports your AI workloads. Managed and Unmanaged AI options Google Cloud provides both managed (Vertex AI) and do-it-yourself (DIY) approaches for running AI workloads. Vertex AI: A fully managed …