Google DeepMind RecurrentGemma Beats Transformer Models

RecurrentGemma

Google DeepMind published a research paper that proposes language model called RecurrentGemma that can match or exceed the performance of transformer-based models while being more memory efficient, offering the promise of large language model performance on resource limited environments. The research paper offers a brief overview: “We introduce RecurrentGemma, an open language model which uses … Read more

Google Analytics Removes 4 Models, Adds Custom Metrics

Google Analytics Removes 4 Models, Adds Custom Metrics

Google has announced updates coming soon to Google Analytics 4 (GA4) properties. As of mid-October 2023, specific attribution models will be removed from the platform. At the same time, Google is introducing a new “calculated metrics” feature that allows you to create custom metrics tailored to your business needs. According to a statement from Google, … Read more

Developing Machine Learning Models For Big Data Analysis On AWS

Mastering Online Anonymity: The Proxy Server Advantage

In today’s data-driven world, the marriage of Big Data and Machine Learning (ML) has ushered in a new era of insights and innovation. As data volumes continue to explode, the ability to harness this data for predictive and prescriptive analytics is crucial. Amazon Web Services (AWS), a pioneer in cloud computing, offers a robust platform … Read more

NVIDIA Introduces AI Workbench For Enterprise Generative AI Models

NVIDIA Introduces AI Workbench For Enterprise Generative AI Models

NVIDIA hopes to open new doors for developing generative artificial intelligence (AI) models with AI Workbench. The enterprise toolkit is intended to make AI development more streamlined, efficient, and accessible. Its reported capabilities range from scaling models across any infrastructure, including PCs, workstations, data centers, and public clouds, to seamless collaboration and deployment. The complexities … Read more

Data Labeling For Machine Learning Models: Process Overview

Machine Learning

High-quality labeled data is becoming more necessary to train and enhance AI-based models as a result of rapid machine learning development. More specifically, data must be assigned a label in order for machine learning algorithms to easily recognize the information it contains and make use of it. Otherwise, machine learning models are unable to discern … Read more

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