AI has changed the way we carry out many of the actions that we commonly carry out in our lives in all areas: family, social and work. It is here to stay just as robotization or the Internet is, although we are still in a phase of discovering all the new capabilities it brings us.
This tutorial, available in both feitam.es (only in English) and tibidico.com (both in English and Spanish), is a vibe AI tutorial reflecting its current evolution as new elements and aspects appear, and I am discovering them, testing and delving into its use and exploitation.
I want to emphasize that AI gives us more efficiency and productivity if we know how to use it properly, but we must never fall into the idea that it is an oracle of what it contributes; and that he really is an educated snitch, and focused by someone, on a correlation of the specific data source he uses, and precisely for this reason I consider that it does not generate R&D by providing the correlation of something that already exists. We must not fall into extreme enthusiasm in using it for everything, avoiding excessive acquisition of unnecessary computing, taking special care regarding cybersecurity aspects such as sharing sensitive or important information for us in its use.
This tutorial attempts to give all the options available so that you can adapt the use of AI to your use scenarios, with the use of local and non-local LLMs, characteristics of the different LLM models available, use of development models, use of models visual detection, etc.
- Section 1: Local/private LLM Managers
Content planned to be published soon, these are my concerns in AI in the short and medium term:
- Section: Virtual assistants in the cloud
- ChatGPT
- Section: Cloud LLMs
- GPT-5
- Claude
- Gemini
- Gork
- Kimi
- Yolo
- Qwen
- Section: AI for dev
- VS Code
- Antigravity
- Section: Fundamentals
- Section: RAG
- Section: MCP
- Section: Agents
- Section: Vibe coding
