AI stacks - terrytaylorbonn/auxdrone GitHub Wiki
25.0612 (0418) Doc URLs Stack URLs Lab notes (Gdrive) Git
This part of the wiki has the following workflow:
- Youtube demos from my favorite bloggers (listed in chapter "Sources (authors)" in docx #499_ai_stack_demo_master_list_) to keep up with the latest.
- Demo deployments (my focus is currently more on local models that run without an internet connection).
- "Hackathons" or "GPT sprints" where I use only GPT (Copilot) to build AI stacks.
- DEEP DIVE. Right now its kind of empty, but the idea is to deep dive (continuing from where the hackathons left off) into the 5 main areas shown in the diagram below.
- AI stack documentation.
Getting the initial hands-on experience by doing demos.
- 1 Demos (Youtube). Start out with Youtube demos to get (extensive) hands-on experience.
- 1.1 Full demos
- 1.2 LLMs, UIs
- 1.3 Agents, debug
- 1.4 Tools, RAG, MCP, A2A
- 2 Demo deploys (Youtube). Deploy selected Youtube demos (embellish using GPT).
3 Hackathons (ChatGPT "sprints")
GPT sprints (see #405_openwebui_llama.cpp_mistral-7b-local_GPT_ as an example) are when I use only GPT (Copilot) for testing out various AI stack configurations (that I later explore in more details in the next section "4 DEEP DIVE").
4 DEEP DIVE 25.0610 (see diagrams below)
Use ChatGPT as much as possible to deep-dive into the main functional areas.
- 4a APIs. Use to connect the agent to the LLM. Explore select framework APIs (go through the official docs for HuggingFace, Pydantic, OpenAI, Mistral, etc, using GPT to get the missing details).
- 4.1 HF
- 4.2 PydanticAI
- 4.3 OpenAI
- 4.4 Mistral (?)
- 4b Agents. The main binary program loop.
- 4x Human input (??). HUMAN IN THE LOOP. All the different methods to input real intelligence.
- 4y External data input (??). MCP, RAG, A2A. Getting external (up to date) input.
- 4c LLMs (1-model,2-runtime,3-frontend). The core of what makes AI "intelligent": The dumb tokenizer and the nanny (also nanny-state) wrapper logic.
Explore basic tech for creating docuumentation for an AI stack.
OVERVIEW
AGENT (4a) <> LLM API (4b)
DETAILED (WIP)
(notes)
extract content and eventually delete
AI stack FE/BE compatibility 25.0416