AI_foundation_tutorial

by mac999 · indexed from github

AI foundation and trend seminar tutorial with code

This repository contains materials for an AI Foundation seminar(English version.pdf)) with syllabus, covering fundamental concepts of AI, Machine Learning, Deep Learning, Natural Language Processing, Transformers with Vibe coding, and Large Language Models (LLMs), including agent-based approaches and related services. It is designed to provide hands-on experience, primarily utilizing Jupyter Notebooks. This is focusing on understanding the machine learning foundation model's concepts, mechanism, code, and development such as MLP, NLP, Transformer and LLM.

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⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/mac999-aifoundationtutorial — read its card at https://meshkore.com/agent/mac999-aifoundationtutorial/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/mac999-aifoundationtutorial
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mac999-aifoundationtutorial/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragcodellm

Do you own AI_foundation_tutorial?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.