Remove category development-tools
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Stability AI unveils 12B parameter Stable LM 2 model and updated 1.6B variant

AI News

This new release extends the company’s model range, offering developers a transparent and powerful tool for innovating with AI language technology. The company is confident that this release will enable developers and businesses to continue developing the future while retaining full control over their data.

Big Data 261
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Unlocking the Power of Containers: Exploring the Top 20 Docker Containers for Every Development Need

Analytics Vidhya

Introduction Docker containers have emerged as indispensable tools in the fast-evolving landscape of software development and deployment, providing a lightweight and efficient way to package, distribute, and run applications.

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Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture

Marktechpost

This disjointed approach limits developers’ ability to design efficient and tailored models to the unique data structures they process. They have proposed a solution grounded in category theory, aiming to create a more integrated and coherent methodology for neural network design. Check out the Paper.

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AI and the Future of Work: Reskilling the Workforce in an Age of AI

Unite.AI

Over 100M people already use ChatGPT every week , and more than half of employees say they use AI tools at work. This could lead to large categories of jobs being destroyed. With this new wave of AI, there is a new category of machine learning engineers who are focused only on “prompt engineering.”

AI 312
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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SEED-Bench-2-Plus: An Extensive Benchmark Specifically Designed for Evaluating Multimodal Large Language Models (MLLMs) in Text-Rich Scenarios

Marktechpost

SEED-Bench-2-Plus , developed by researchers from Tencent AI Lab, ARC Lab, Tencent PCG, and The Chinese University of Hong Kong, Shenzhen, is a specialized benchmark for evaluating MLLMs’ understanding of text-rich visual content. Each category encompasses a variety of data types, totaling 63 in all. It consists of 2.3K

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The future of application delivery starts with modernization

IBM Journey to AI blog

Adopt developer tooling and agile processes to increase your velocity and help you address these issues. Your existing applications also form a large part of your organization’s technical debt, with monolithic architectures and development processes. How can you keep innovating consistently while delivering value?