Arquitectura de agentes autónomos, frameworks multi-agente (CrewAI, LangGraph), herramientas MCP y modelos de pesos abiertos.
llms-agents
▶ 4:15:00
Run open-source reasoning models locally without cloud subscriptions. Learn DeepSeek R1 architecture, GGUF quantizations, Ollama API integration, and vLLM high-throughput inference.
llms-agents
▶ 3:50:00
Architect resilient multi-agent software engineering pipelines. Build stateful agent graphs, cyclical reasoning loops, human-in-the-loop checkpoints, and self-correcting code generators.
llms-agents
▶ 3:45:00
The complete guide to deploying, configuring, and operating OpenClaw—the premier open-source autonomous personal AI assistant with 389k+ GitHub stars. Master multi-channel bots (Telegram, Discord, Slack), secure Docker tool sandboxes, and long-term memory.
llms-agents
▶ 3:15:00
Explore the cutting-edge frontier of autonomous self-improving agents. How Nous Research's Hermes Agent utilizes DSPy compilation and Genetic Pareto Optimization (GEPA) to iteratively optimize its own reasoning paths and code generation accuracy.
llms-agents
▶ 2:40:00
Eliminate hallucinations and guarantee 100% type-safe JSON outputs from OpenAI, Anthropic, and local LLMs. Deep-dive into Pydantic v2 schemas, the Instructor library, schema validation retries, and production API design.