Ruslan Magana Vsevolodovna, esperta in Intelligenza Artificiale, Data Science, Machine Learning e sviluppo cloud, con tutorial su sistemi multi-agente e Watsonx.
13 articles from this blog
Introduces Agent-Matrix, an open-source OS for managing autonomous AI agents as living systems, aiming to eliminate maintenance.
A tutorial on building multi-agent systems using the universal-a2a-agent framework, covering HTTP endpoints, provider-agnostic design, and LangGraph integration.
A tutorial on building a multi-agent AI system with specialized agents using IBM's Watsonx Orchestrate platform and Docker.
A tutorial on building an AI agent with Watsonx.ai and integrating it using the Model Context Protocol (MCP) Gateway for seamless tool communication.
A tutorial on building a Retrieval-Augmented Generation (RAG) server using IBM Watsonx.ai, ChromaDB, and the Model Context Protocol (MCP) Python SDK.
A tutorial on integrating IBM watsonx.ai models into Langflow to build visual RAG applications and AI workflows.
A tutorial on building a production-ready chatbot server using IBM Watsonx.ai and the Model Context Protocol (MCP) Python SDK.
A guide to building a production-ready, vendor-neutral AI agent using IBM watsonx.ai, MatrixHub, and MCP Gateway, focusing on decoupled architecture.
Explains a neuro-symbolic system using a theorem prover to prevent GenAI hallucinations in enterprise actions, ensuring logical constraints are met.
Introducing Physica, a Physics World Model AI that enforces physical laws to prevent errors in AI-generated simulations, moving beyond token fluency.
A comprehensive tutorial guiding developers from beginner to advanced proficiency using the BeeAI Framework for building intelligent AI applications.
A technical guide exploring IBM's Granite 3.1 AI models, covering their reasoning and vision capabilities with a demo and local setup instructions.
A technical guide on fine-tuning IBM's Granite3.1 AI model using Guided Reward Policy Optimization (GRPO) to enhance its reasoning capabilities.
