Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

U.S. Marines stand ready amid rising tensions with Venezuela. President Trump's administration has ramped up military presence in the Caribbean, targeting Nicolás Maduro's regime. Deployments include ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

If you’re just dying to talk to Copilot within Excel, good news: Copilot is now a traditional Excel function within Excel for Windows and the Mac. But wait, you say. Copilot is already in Excel! For ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...