https://github.com/autoviml/genai_projects
GenAI Projects based on working with Gemini and Open Source models and tools. Created by Ram Seshadri
https://github.com/autoviml/genai_projects
Last synced: 7 days ago
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GenAI Projects based on working with Gemini and Open Source models and tools. Created by Ram Seshadri
- Host: GitHub
- URL: https://github.com/autoviml/genai_projects
- Owner: AutoViML
- Created: 2025-03-16T13:49:42.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-04T15:20:13.000Z (10 months ago)
- Last Synced: 2025-06-04T21:38:46.379Z (10 months ago)
- Language: Python
- Size: 20.8 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Next'25 RAG Demo and Auto Alignment of LLM Evaluation Framework
Authors: Jennifer Liang and Ram Seshadri
This repo contains the demo source scripts and notebooks for the Next'25 presentation by Jennifer Liang and Ram Seshadri.
## Description of the Repo
* `Next_25_RAG_demo`: The step by step RAG demo for Asian Chef Advisor shown in Next'25 are stored here. Instructions for running the demo are described in the README file of this folder.
* `Auto_LLM_Evaluator`: The scripts shown in the Next'25 demo of the Auto Alignment LLM evaluator are stored here. Instructions for running the scripts are described in the README file of this folder.
* `Dual_LLM_Generator`: The scripts for generating input files for the Auto Alignment LLM evaluator are stored here. Instructions for running the scripts are described in the README file of this folder.
*Note:* Ensure your Google Cloud Project ID and Location are either set as environment variables (`GOOGLE_CLOUD_PROJECT`, `GOOGLE_CLOUD_REGION`) or specified directly in the `config.yaml` (using `project_id` and `location` keys).
## Structure of the repo
Instructions for running each demo are stored in the respective folders:
- Next_25_RAG_demo folder
- Auto_LLM_Evaluator folder
- Dual_LLM_Generator folder