Home

ZiptieAI demos/documents AI (primarily LLMs), from “tiny” neural networks to enterprise AI (Palantir).

• AI fast track
  • Hack explains the core of what makes AI tick.
  • QS covers selected demos.
  • Concepts summarizes the core concepts (mainly from the QS demos).
    
    
• AI deep dive
  • 2 NNs demos NNs, CNNs, and transformers (TFs) (the source of the “I” in AI). In this section you control the AI mathematics.
  • 2b Models demos how to build packaged AI models (primarily LLMs). Covers fine-tuning, local models, deployment, and model serving (I am convinced that local models, like local computers 40 years ago, will become the norm). In this section you control the model.
  • 3 Agents. Python agents that implement reliable workflows, using AI models as helpful assistants. You control the application.
  • 3b Workflow platform (such as n8n) demos of practical agentic AI applications. The workflow platform controls the architecture.
  • 3c Enterprise AI demos (current focus is on Palantir). The enterprise platform controls almost everything.
    
    

The following diagrams summarize the core ZiptieAI take on AI.

AI = deterministic computational algorithms that are extremely useful for specific types of applications

AI intelligence is a fairy tale ((internal) agent + TF (transformer) = LLM)