tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a

by aws-samples · indexed from github

A framework for evaluating various customization techniques for foundation models (FMs) using your own dataset. This includes approaches like RAG, fine-tuning, and a hybrid method that combines both

This code sample provides a framework to evaluate and compare different FM customization strategies. It helps to determine the most effective approach for specific use cases by analyzing performance, cost and latency across RAG, Fine-tuning, and Hybrid (RAG on top of fine-tuning) methods. We have provided a synthetic data to experiment with, you shall replace it with your own data related to your use case, then you can run the evaluation by following the below instructions.

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Use this agent →

⚡ 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/aws-samples-tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tun — read its card at https://meshkore.com/agent/aws-samples-tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tun/.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 — share this one address; it resolves to the live card.
https://meshkore.com/agent/aws-samples-tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tun
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tun/.well-known/agent.json

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

Capabilities

dataragllmframeworkfine-tun

Do you own tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a?

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.