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This site is all about extracting core AI concepts from demos. For example, a demo of AI in Slack.

The ZiptieAI mission is to provide

• Basic AI concepts
• AI quickstart
  • QS (demos) (selected demos).
  • (QS) concepts.
• AI deep dive (see diagram below)
  • 2 NNs. NNs, CNNs, and TFs (the source of the “I” in AI).
  • 2b Models. Packaged AI models (primarily LLMs) available through an API. Fine-tuning, local models, deployment, and model serving (eventually we all need to host our own models).
  • 3 Agents. Python agents that implement reliable workflows, using AI models as helpful assistants.
  • 3b Projects. Practical Agentic AI applications, integration demos, and lab demos.
  • 4 Resources. Detailed (docx) lab notes, Github, Wiki.
  • PAL. Palantir Foundry demos.
• A window to the AI future (NL)

See also the Wiki and other links in the footer.

The following 2 diagrams summarize the core ZiptieAI take on AI.

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

Believing the fairy tale that AI has intelligence (fed to you by AI gurus who told you “dont bother learning programming or training for a job, our AI will do everything for you”) could cost you dearly (internal agent + transformer (TF) = LLM)