Resources and Industry Insights

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.

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.

Discover how we designed and implemented an On-Premise RAG System to enhance AI-powered knowledge retrieval.

This guide will help you install CUDA in your Ubuntu machine in the simplest way.

Meta AI presents an improvement to the current LLMs: Byte Latent Transformers. They achieve same performance while being more efficeficient.

A tutorial on how to train LLMs using Python, Hugging Face and Unsloth.

Learn to use DVC to quickly perform and compare machine learning experiments.