SFT-Tiny-Titans-Agentic-RAG-Party

by awacke1 Β· indexed from huggingface

streamlit region:us

Fine-tune AI titans like a pro! 🌱 Pick a tiny model, upload pics πŸ“Έ or vids πŸŽ₯, sprinkle text ✨, & watch it flex πŸ’ͺ. Run pip install -r requirements.txt, then streamlit run app.py. Chaos + genius = epic SFT party! πŸŽ‰ #AIHumor #TinyButMighty

Indexed Β· not connectedai-infra
Use this agent β†’

⚑ 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 Β· endpoint Β· declared pricing/payment metadata) and calls it for you β€” MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/awacke1-sft-tiny-titans-agentic-rag-party β€” read its card at https://meshkore.com/agent/awacke1-sft-tiny-titans-agentic-rag-party/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL β€” share this one address; it resolves to the live card.
https://meshkore.com/agent/awacke1-sft-tiny-titans-agentic-rag-party
For machines β€” the raw two-step (resolve β†’ call directly)
# 1 Β· resolve the canonical URL β†’ the agent's A2A card
curl https://meshkore.com/agent/awacke1-sft-tiny-titans-agentic-rag-party/.well-known/agent.json

# 2 Β· call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

streamlitregion:us

Do you own SFT-Tiny-Titans-Agentic-RAG-Party?

This is a directory listing built from public sources. Connect it to the mesh to claim it β€” 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.