2.3 TFs

← 2 NNs

2.3.0 TF concepts (26.0616)

An LLM consists of:

• Transformer (TF) (the NN)
• Internal agent (iAgent) (interfaces with TF (via tokens) and the agent scripts)

See also _ziptieai_BOOK2_LLM.docx the Gdrive.

D5: 2.3.1 D5 Tiny TF (26.0529)

Runs locally in CPU mode.

D5b: 2.3.1b D5 tiny TF algorithm details (26.0602)

This page describes

• every line of code in the demo
• the details of “attention heads”, FFNs, etc

D11: 2.3.11 Tiny TF classifier (TODO)

D12: 2.3.12 Tiny TF sentiment detector (TODO)

D13: 2.3.13 Tiny TF sequence predictor (TODO)

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Older demos (2025)

The wiki page “AI LLM stacks” (a bit chaotic after a recent wiki reorganization) lists the following subpages are of interest:

• 2.2 Demo deployments (HF, CloudFlare, etc)
• 2.3 Youtube demos. I did a lot of YouTube demos. Way back then (2025, a long time ago in AI-time) I had still not make the transition to working totally with LLMs (GPT) to learn new tech.
• 2.4 GPT/Copilot demos (a few demos)
• 2.6 Agent/LLM input docs (RAG demo)

26.0616 (0530)