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metadata
title: Model Validation
emoji: 🏢
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 4.31.0
app_file: app.py
pinned: false
Documentation
Group1_Subtask2
Generating A Judger Response For Target Model
Model Functionalities
- Model Prompt
- Two responses from the model based on the prompt
- Judger Model takes the two responses as prompts and gives back a judgment
- User modifies the judgment to fit his/her views
Target Model - Gemini
Featured Judger Model - Gemini
Functions
-> model_prompt_response
function: takes prompt from the user as an argument and parse to the model. Returns: - response1_model: Response 1 from the target model
- judge_1: Judgement 1 from the judger for response 1
- score1_judger: Score 1 from the judger for response 1
- response1_mode2: Response 2 from the target model
- judge_2: Judgement 2 from the judger for response 2
- score1_judger: Score 2 from the judger for response 2
-> judge_response
function: Takes score1_judger, score2_judger, judge_1 and judge_2 from model_prompt_response
as arguments. Returns:
- response1_judger: Edited/Accepted Response 1 by user
- score1_anonator: Edited/Accepted Score 1 by user
- response2_judger: Edited/Accepted Response 2 by user
- score2_anonator: Edited/Accepted Score 2 by user
-> assign_score
function. Implements a simple search algorithm that searches judge_1 and judge_2 for score and assigns a score to the responses from the target model.
Dependencies
File -> requirements.txt gradio
for gradio google.generativeai
for Gemini generative AI
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Configs:
api_key
api key model
model instance
Team
Collins Okoth: collins.okech@digitaldividedata.com
Albert Disi: albert.disi@digitaldividedata.com
Joseph Amadi: joseph.amadi@digitaldividedata.com
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference