Tiempo de lectura: < 1 minutoHoy vamos a aprendir a instalar OpenClaw desde cero en una Raspberry Pi y con una tarjeta SD. Do not use the normal Windows or Mac formatter. Use Raspberry Pi Imager (the official tool). No update until you plug the SD into the Pi and enter via SSH: Bash sudo apt update && sudo apt … Read more
Tiempo de lectura: < 1 minutoHoy vamos a aprender a instalar OpenClaw en un sistema Docker mediante Docker Compose y dejarlo de forma aislada. Primero instalamos Docker. Once installed, we need to update Docker Compose: # Add official Docker repository curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg –dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg echo “deb [arch=$(dpkg –print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable” | sudo … Read more
Tiempo de lectura: < 1 minutoWe will learn today how we can use opencode with our Ollama directly on local. The API is exposed by default in: http://localhost:11434 Check it out: curl http://localhost:11434/api/tags You don’t have it? You need to install Ollama For Windows: irm https://ollama.com/install.ps1 | iex For Windows: curl -fsSL https://ollama.com/install.ps1 | iex We download a model, in … Read more
Tiempo de lectura: 2 minutosVamos a generate a first agent with Claude Code and it will run automatically every hour with a cron and upload the generated content to GitHub. Crea the folder of your agent: mkdir -p ~/motivational-agent/md mkdir -p ~/motivational-agent/data cd ~/motivational-agent The final structure will be: motivational-agent/ │ ├─ md/ │ └─ claude.md # context and … Read more
Tiempo de lectura: < 1 minutoWe will learn today how to install Claude Code on Windows. Claude Code is a tool developed by Anthropic that acts as an intelligent agent for programmers. It’s not an AI model itself, but rather a CLI/Interface that communicates with advanced language models, such as those from the Claude family, to help you generate, review … Read more
Tiempo de lectura: 3 minutosWe will build a LangGraph agent with Python and no LLM as an example for a basic tutorial. Our agent will do the following: You receive a user’s question Determine if you need to search for information (simulated) Respond with or without searching Save state between nodes First, we will install the library: pip install … Read more
Tiempo de lectura: < 1 minutoWe need to understand that not all models are created equal. The main difference between general models and instructional models. General models Ejemplo:Pregunta: “Explain how a neural network works”Response from a general model: can give an extensive explanation, include unnecessary concepts or jump topics. Instruct Models Ejemplo:Pregunta: “Explain how a neural network works step by … Read more
Tiempo de lectura: 2 minutosEnable GPU access is essential if we need to start a LLM model and use GPU with VRAM. Previous requirements Please ensure you have an NVIDIA GPU installed on your machine with the drivers installed and updated. Check using: nvidia-smi You should see your GPU and driver version. Additionally, Docker must be installed. NVIDIA Container … Read more
Tiempo de lectura: 2 minutosIt’s an inference server optimized (uses paged attention) that supports models like Llama 3, Mistral, Gemma, Phi, Qwen, etc. This offers an OpenAI-compatible API, perfect for easy integration. We will create the Docker Compose that allows us to deploy it: File: docker-compose.yml version: “3.9” services: vllm: image: vllm/vllm-openai:latest container_name: vllm restart: unless-stopped ports: – “8000:8000” … Read more
Tiempo de lectura: < 1 minutoToday we are going to see what types of AI agents are available with LangChain. ➡️ The most used. What it does:The LLM decides which tool to use at each step based on only the textual description of the tools.No needs examples or prior instances. For: Typical usage example: agent = initialize_agent( tools=mis_tools, llm=llm, agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION, … Read more
