​[[{“value”:”This paper was accepted at the Safe Generative AI Workshop (SGAIW) at NeurIPS 2024. Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user instructions. However, recent studies have shown significant limitations in LLMs’ instruction-following capabilities,… Read More »Do LLMs Estimate Uncertainty Well in Instruction-Following? Apple Machine Learning Research

​We study the problem of differentially private stochastic convex optimization (DP-SCO) with heavy-tailed gradients, where we assume a kthk^{text{th}}kth-moment bound on the Lipschitz constants of sample functions, rather than a uniform bound. We propose a new reduction-based approach that enables us to obtain the first… Read More »Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Apple Machine Learning Research

​We study the problem of private online learning, specifically, online prediction from experts (OPE) and online convex optimization (OCO). We propose a new transformation that transforms lazy online learning algorithms into private algorithms. We apply our transformation for differentially private OPE and OCO using existing… Read More »Private Online Learning via Lazy Algorithms Apple Machine Learning Research

​[[{“value”:” Natural Language to SQL (NL2SQL) technology has emerged as a transformative aspect of natural language processing (NLP), enabling users to convert human language queries into Structured Query Language (SQL) statements. This development has made it easier for individuals who need more technical expertise to… Read More »Alibaba Research Introduces XiYan-SQL: A Multi-Generator Ensemble AI Framework for Text-to-SQL Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy… Read More »Racing into the future: How AWS DeepRacer fueled my AI and ML journey Matt Camp AWS Machine Learning Blog

​[[{“value”:” The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of… Read More »Your guide to generative AI and ML at AWS re:Invent 2024 Mukund Birje AWS Machine Learning Blog

​[[{“value”:” In the rapidly evolving world of AI, the ability to customize language models for specific industries has become more important. Although large language models (LLMs) are adept at handling a wide range of tasks with natural language, they excel at general purpose tasks as… Read More »Customize small language models on AWS with automotive terminology Bruno Pistone AWS Machine Learning Blog

​[[{“value”:” In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from… Read More »Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails Manu Mishra AWS Machine Learning Blog

​[[{“value”:” According to the National Cancer Institute, a cancer biomarker is a “biological molecule found in blood, other body fluids, or tissues that is a sign of a normal or abnormal process, or of a condition or disease such as cancer.” Biomarkers typically differentiate an… Read More »Accelerate analysis and discovery of cancer biomarkers with Amazon Bedrock Agents Hasan Poonawala AWS Machine Learning Blog

​[[{“value”:” As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. This is where… Read More »Automate building guardrails for Amazon Bedrock using test-driven development Harsh Patel AWS Machine Learning Blog