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Optimize LLama3.2 3B model with OpenVino Toolkit: Convert to IR format, quantize to 4Int, and perform CPU inference using CoT prompts.
Convierte y optimiza el modelo LLAMA3.2 3B con OpenVino Toolkit. Aprende a quantizar a 4Int y realizar inferencia en CPU utilizando CoT Prompts.
Explore training a small LLM (GPT2) locally, understanding challenges and limitations of LLM development for individuals and small teams.
Aprende a entrenar un LLM nanoGPT en español desde cero, crear datasets personalizados y realizar inferencias localmente utilizando un modelo GPT2 base.
Descubre cómo construir un motor de búsqueda impulsado por IA usando servidores MCP de Google y Perplexity con Streamlit, Azure OpenAI y Docker en un entorno distribuido.
Discover how to build an intelligent trading agent using the Dual Moving Average Crossover Strategy with LangGraph, Gemini Models, and Yahoo Finance for automated buy/sell signals.
Aprende a crear servidores MCP con LLMs como Claude para procesar PDFs, aplicar prompts personalizados y acelerar el desarrollo usando protocolo de contexto de modelo.
Aprende a crear un sistema de traducción de videos con IA usando OpenAI Whisper, Transformers y Edge TTS. Traduce contenido de español a inglés de forma local y gratuita.
Discover how to accelerate MCP server development using Claude LLMs for PDF document processing, analysis, and summarization with complete stdio transport examples.
Discover how to build an AI-powered search engine using MCP servers, Streamlit, and Azure OpenAI in Docker containers for distributed deployment.
Aprende a crear aplicaciones con GitHub Copilot y MCP servers, desarrollando un generador de reportes Neo4j para análisis de eventos y patrones de asistencia usando Python y VSCode.
Descubre cómo crear un agente inteligente para escanear mercados financieros usando Anthropic y MCP, con análisis técnico avanzado y backtesting de estrategias de trading.
Discover how AI systems autonomously plan, reflect, and execute complex multi-step tasks through agentic workflows, moving beyond simple prompt-response interactions.
Discover how to build modular AI agent applications that create knowledge graphs using OpenAI, Google ADK, and Neo4j for product-assembly-part-supplier relationships.
Explore advanced AI reasoning with Chain-of-Thought and ReAct patterns through a sophisticated trip planner that demonstrates multi-agent collaboration and iterative self-correction.
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