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Resources and Industry Insights
This resource and insight hub provides education, breaking news, our research, and more to benefit developers, corporate leadership, academics, marketing and business development professionals, and even those who are new to the concept of AI.



NVIDIA Isaac Sim, Omniverse, and Cosmos – The Robotics & AI Simulation Ecosystem Explained
NVIDIA's ecosystem of Omniverse, Isaac Sim, and Cosmos forms a powerful trio for robotics and AI development. Omniverse provides the collaborative 3D simulation platform, Isaac Sim enables realistic robotics testing, and Cosmos uses generative AI to accelerate synthetic data creation. This blog explains how these tools work together, their strengths, and when to use each to streamline your development workflow.

Adrian Araya
5 days ago10 min read
18


Introducing Juniper: How We Fine-Tuned a Small and Local Model for Function Calling
This post will take you through our journey on how we fine-tuned a model for function calling.

Daniela Brenes
Jun 312 min read
17


UV Tutorial: A Fast Python Package and Project Manager
This tutorial will show you how to get started with UV: a fast Python manager for packages and projects.
Michael Gruner
May 135 min read
95


How to Write Your MCP Server in Python
Discover how to build a simple MCP server in Python to manage a to-do list example using the Model Context Protocol (MCP). This step-by-step guide walks you through creating the server, connecting it to Claude for Desktop, and enabling seamless interaction between AI models and real-world tools.

Adrian Araya
May 127 min read
249


Introducing Voice Agent: Real Time Voice Assistant for Language Models
Bring real-time voice to your applications with Voice Agent! Built for low-latency, natural conversations, Voice Agent supports interruption, local processing, and full customization—perfect for embedded systems, desktop apps, or web interfaces. Discover how RidgeRun’s modular design makes building voice-powered experiences seamless and flexible.

Adrian Araya
Apr 294 min read
53


How to Create an OpenAI-Compatible Wrapper for Ollama
Easily switch between OpenAI and local LLMs like Ollama using the same API! This post shows how to wrap the OpenAI Python (and JavaScript) client to talk to Ollama with minimal changes, letting you develop and test locally without sacrificing the familiar OpenAI interface. Learn how to install Ollama, pull models like llama3.1, and build a unified interface that works across both platforms.

Adrian Araya
Apr 283 min read
123


Retrieval Augmented Generation: How We Designed and Implemented an On-Premise RAG System for RidgeRun
Discover how we designed and implemented an On-Premise RAG System to enhance AI-powered knowledge retrieval.

Adrian Araya
Mar 3114 min read
105


How to Install CUDA in Ubuntu
This guide will help you install CUDA in your Ubuntu machine in the simplest way.
Michael Gruner
Mar 263 min read
47


Meta AI Introduces BLT: Byte Latent Transformers
Meta AI presents an improvement to the current LLMs: Byte Latent Transformers. They achieve same performance while being more efficeficient.
Michael Gruner
Dec 14, 20244 min read
141


How to Fine-Tune LLMs with Unsloth and Hugging Face
A tutorial on how to train LLMs using Python, Hugging Face and Unsloth.

Daniela Brenes
Nov 18, 20248 min read
1,731
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