Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use

The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE GPU Network provisioning is also inlcuded.

[Migrated to self-hosted ari-web Forgejo: https://git.ari.lt/ari/enterprise-add] Enterprise AI parody: number addition in C using gradient descent (Machine Learning/AI).

Enterprise-ready solution leveraging multimodal Generative AI (Gen AI) to enhance existing or new applications beyond text—implementing RAG, image classification, video analysis, and advanced image embeddings.

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready insights.

Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use

Next-gen enterprise multi-agent AI framework for autonomous agent swarms with code-level control, military-grade efficiency, and hybrid intelligence.

SnapDoc AI processes everything on-device, ensuring your sensitive information never leaves your control. Use voice and text on-device processing in organizations.

Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

A curated collection of enterprise-grade AI learning platforms offering free training with paid, industry-recognized certifications

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

Comprehensive guide for building AI tools using Model Context Protocol (MCP). Learn to develop, secure, and deploy production-ready AI integrations.

Mainframe Context Aware Protocol (MCAP) for AI - Driven Legacy Modernization

Enterprise evolution of nano-vLLM - Currently in development. Built with respect on @GeeeekExplorer's foundation.

Visual dashboard to evaluate multi-agent & RAG-based AI apps. Compare models on accuracy, latency, token usage, and trust metrics - powered by NVIDIA AgentIQ

Agent as a Service (AaaS) - Enterprise AI Agent Platform | Deploy AI Agents at Scale | Contact: @WilBtc on Telegram