Remove 2011 Remove AI Remove ML
article thumbnail

LLM Agents Underscore One Truth: Data Is The Real Differentiator.

Towards AI

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. Edited Photo by Taylor Vick on Unsplash In ML engineering, data quality isn’t just critical — it’s foundational. Since 2011, Peter Norvig’s words underscore the power of a data-centric approach in machine learning.

ML 126
article thumbnail

Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads

AWS Machine Learning Blog

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 106
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

[AI/ML] Spatial Transformer Networks (STN) — Overview, Challenges And Proposed Improvements

Towards AI

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. The modification of dynamic spatial information through spatial transformer networks (STNs) allows models to handle transformations such as scaling and rotation for subsequent tasks.

ML 105
article thumbnail

Improving air quality with generative AI

AWS Machine Learning Blog

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Sandra’s journey includes social entrepreneurship and leading sustainability and AI efforts in tech companies.

AWS 135
article thumbnail

OCP Summit 2024: The open future of networking hardware for AI

Hacker News

At Open Compute Project Summit (OCP) 2024, we’re sharing details about our next-generation network fabric for our AI training clusters. In today’s world, where more and more data center infrastructure is being devoted to supporting new and emerging AI technologies, open hardware takes on an important role in assisting with disaggregation.

article thumbnail

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

ML 98
article thumbnail

Amazon EC2 P5e instances are generally available

AWS Machine Learning Blog

State-of-the-art generative AI models and high performance computing (HPC) applications are driving the need for unprecedented levels of compute. The size of large language models (LLMs), as measured by the number of parameters, has grown exponentially in recent years, reflecting a significant trend in the field of AI.

AWS 110