Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

As business leaders adopt generative AI they must decide whether to build their AI capabilities using open-source or rely on ...

There are plenty of incredible open source Android games available for your smartphone, but to get your started, here are my ...

By enabling CUDA applications to run on third-party GPUs from AMD, Intel, and others, this effort could dramatically expand ...

Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.

The 10-day competition is hosted by the Florida Fish and Wildlife Conservation Commission and the South Florida Water ...

We fill a gap in the optimization software available and introduce DESDEO, a modular and open source Python framework for interactive multiobjective optimization. DESDEO’s modular structure enables ...

Agent Development Kit (ADK) An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. Important Links: Docs, Samples, Java ...

From Chronosphere's Logs 2.0 to Kubecost managing cloud-native spend, discover the key open-source tech talking points with theCUBE.

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Get the LM output you need with a single prompt Guidance is a proven open-source Python library for controlling outputs of any language model (LM). In only one API call, developers express in Python ...