Data & Research · GitHub ·6 ★

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

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

Details

Author
aws-samples
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
6
First indexed
2026-05-15
Last active
2026-04-08
Directory sync
2026-05-15

Overview

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

Quick start

git

git clone https://github.com/aws-samples/tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-approaches

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

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

  • Framework — framework task automation.
  • Fine Tun — fine-tun task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a?
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
How do I install tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a?
Use git: `git clone https://github.com/aws-samples/tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-approaches`. Full setup details on the source page linked above.
Is tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a open source?
tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a is published on GitHub.
What are alternatives to tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for tailoring-foundation-models-for-business-needs-guide-to-rag-fine-tuning-hybrid-a is sourced from GitHub, published by aws-samples.

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