25.0608

3 main parts

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• 1 Youtube demos. Hands-on demos (that cover the whole gamut) are the essential first step.
• 2 Youtube demo deployments. Choosing a few good demos from the previous goal to embellish and deploy.
• 3 Hackathons. Using ChatGPT and Copilot to build from scratch. Deep diving into various side topics (like partitions, WSL2, etc).

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"BINARY" means that deterministic AI apps need a main binary algorithm that controls execution. Could be a chat UI (with human input steering the activity) or a python script.

• 4 APIs. Deep diving into the APIs of "agent frameworks" (HuggingFace, PydanticAI, OpenAI, and Mistral).
  • 4.1 HF
  • 4.2 PydanticAI
  • 4.3 OpenAI
  • 4.4 Mistral (?)
• 4b Agents 25.0608

(IN DIAGRAM BELOW IN GREEN)

"AI" means

• probablistic token generators based on trained models that provide the AI functionality.
• the "binary wrapper" (my term) for the binary logic that surrounds the token generator that
  • controls the chaos of the token generator
  • provides API interface (standard I/Fs like OpenAI) that can be called by agents

See

• 4c LLMs. describes
  • host LLM (lcoal, HF, etc)
  • fine-tune/train LLM
  • build LLM