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As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios. Meet the F-Beta Score, a more unrestrictive measure that let the user weights precision over recall or […] The post What is F-Beta Score?
Capture of CO2 from the air offers a promising approach to addressing climate change and achieving carbon neutrality goals1,2. However, the development of a durable material with high capacity, fast kinetics and low regeneration temperature for CO2 capture, especially from the intricate and dynamic atmosphere, is still lacking. Here a porous, crystalline covalent organic framework (COF) with olefin linkages has been synthesized, structurally characterized and post-synthetically modified by the c
Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud. Previously, SageMaker inference endpoints maintained a minimum number of instances to provide continuous availability, even during periods of low or no traffic.
In today’s fast-paced world, staying informed is crucial, but finding the time to read lengthy news articles can be challenging. Additionally, consuming news in one’s native language enhances understanding and engagement. Enter NewsVoiceAI, an innovative application designed to revolutionize the way we access news. By harnessing the power of artificial intelligence, NewsVoiceAI transforms live English […] The post Quick News, Punjabi Voices: The Power of NewsVoiceAI appeared fi
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
In Part 1 of this series, we introduced Amazon SageMaker Fast Model Loader , a new capability in Amazon SageMaker that significantly reduces the time required to deploy and scale large language models (LLMs) for inference. We discussed how this innovation addresses one of the major bottlenecks in LLM deployment: the time required to load massive models onto accelerators.
In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.
Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This innovation allows you to scale your models faster, observing up to 56% reduction in latency when scaling a new model copy and up to 30% when adding a model copy on a new instance.
Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This innovation allows you to scale your models faster, observing up to 56% reduction in latency when scaling a new model copy and up to 30% when adding a model copy on a new instance.
Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well. But what exactly is Graph RAG, and what has made it so popular?
This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At re:Invent 2024, we are excited to announce new capabilities to speed up your AI inference workloads with NVIDIA accelerated computing and software offerings on Amazon SageMaker. These advancements build upon our collaboration with NVIDIA, which includes adding support for inference-optimized GPU instances and integration with NVIDIA technologies.
Predictive Optimization (PO) enhances the performance of Unity Catalog managed tables by intelligently optimizing data layouts, leading to significant improvements in query performance.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. These models have grown exponentially in size and complexity, with some now containing hundreds of billions of parameters and requiring hundreds of gigabytes of memory. As LLMs continue to expand, AI engineers face increasing challenges in deploying and scaling these models efficiently for inference.
As an AI infrastructure company that now provides a platform for inference, retrieval and knowledge base management, Pinecone says it is setting a new standard.
Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos models [1]. Time series forecasting plays a vital role in guiding key business decisions across industries such as retail, energy, finance, and healthcare. Traditionally, forecasting has relied on statistical models [2] like ETS and ARIMA, which remain strong baselines, particularly when training data is limited.
Motivated by the phenomenon of strategic agents gaming a recommendation system to maximize the number of times they are recommended to users, we study a strategic variant of the linear contextual bandit problem, where the arms strategically misreport privately observed contexts to the learner. % under strategic context manipulation. We treat the algorithm design problem as one of emph{mechanism design} under uncertainty and propose the Optimistic Grim Trigger Mechanism (OptGTM) that minimizes re
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Executive Summary In this blog post we explore how private equity (PE) firms can leverage data intelligence to enhance portfolio returns. We highlight.
Elon Musk is pursuing legal action to prevent OpenAI from fully transitioning into a for-profit entity. Musk, alongside his AI startup xAI and former OpenAI board member Shivon Zilis, filed for a preliminary injunction in federal court on November 29, 2024. The motion aims to halt OpenAI’s restructuring plans, alleging that the organization is engaging in anti-competitive practices including pressuring investors not to support rival firms.
When it comes to running a business, managing payroll and Human Capital Management (HCM) has always been crucial. In recent times, online tools have transformed how companies handle these responsibilities. This article delves into the significance of tools in payroll and HCM management offering businesses convenience, efficiency, and heightened security. 1.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn …
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Backed by $200 million in funding, 28-year-old Scott Wu and his team of competitive coders at Cognition are building an AI tool that can program entirely on its own, like an “army of junior engineers.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled its first project: an AI system that can generate video game-like, 3D scenes from a single image. Lots of AI systems can turn a photo into 3D models and environments.
Users of the conversational AI platform ChatGPT discovered an interesting phenomenon over the weekend: the popular chatbot refuses to answer questions if asked about a “David Mayer.” Asking it to do so causes it to freeze up instantly.
David Zinsner and Michelle Johnston Holthaus named interim Co-CEOs. Holthaus also appointed to the newly created position of CEO of Intel Products. Frank Yeary named interim executive chair.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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