meanchen / YiVal

🚀 Evaluate and Evolve.🚀 YiVal is an open source GenAI-Ops framework that allows you to manually or automatically tune and evaluate your AIGC prompts, retrieval configs and fine-tune the model params all at once with your preferred choices of test dataset generation, evaluation algorithms and improvement strategies.

🧚🏻‍️ YiVal

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⚡ Build any Generative AI application with evaluation and improvement ⚡

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🤔 What is YiVal?

YiVal is an GenAI-Ops framework that allows you to iteratively tune your Generative AI model metadata, params, prompts and retrieval configs all at once with your preferred choices of test dataset generation, evaluation algorithms and improvement strategies.

Check out our quickstart guide! →

📣 What's Next?

Expected Features in Sep

• Add ROUGE and BERTScore evaluators
• Add support to midjourney
• Add support to LLaMA2-70B, LLaMA2-7B, Falcon-40B,
• Support LoRA fine-tune to open source models

🚀 Features

	🔧 Experiment Mode:	🤖 Agent Mode (Auto-prompting):
Workflow	Define your AI/ML application ➡️ Define test dataset ➡️ Evaluate 🔄 Improve ➡️ Prompt related artifacts built ✅	Define your AI/ML application ➡️ Auto-prompting ➡️ Prompt related artifacts built ✅
Features	🌟 Streamlined prompt development process 🌟 Support for multimedia and multimodel 🌟 Support CSV upload and GPT4 generated test data 🌟 Dashboard tracking latency, price and evaluator results 🌟 Human(RLHF) and algorithm based improvers 🌟 Service with detailed web view 🌟 Customizable evaluators and improvers	🌟 Non-code experience of Gen-AI application build 🌟 Witness your Gen-AI application born and improve with just one click
Demos	- Animal story with MidJourney 🐯 - Model Comparison in QA ability 🌟	- Startup Company Headline Generation Bot🔥 - Automate Prompt Generation with Retrieval Methods🔥

Model Support matrix

Model	llm-Evaluate	Human-Evaluate	Variation Generate	Custom func
OpenAI	✅	✅	✅	✅
Azure	✅	✅	✅	✅
TogetherAI	✅	✅	✅	✅
Cohere	✅	✅	✅	✅
Huggingface	✅	✅	✅	✅
Anthropic	✅	✅	✅	✅
MidJourney		✅		✅

To support different models in custom func(e.g. Model Comparison) , follow our example

To support different models in evaluators and generators , check our config

Installation

pip install yival

Demo

Multi-model Mode

Yival has multimodal capabilities and can handle generated images in AIGC really well.

Find more information in the Animal story demo we provided.

yival run demo/configs/animal_story.yml

Basic Interactive Mode

To get started with a demo for basic interactive mode of YiVal, run the following command:

yival demo --basic_interactive

Once started, navigate to the following address in your web browser:

http://127.0.0.1:8073/interactive

Click to view the screenshot

For more details on this demo, check out the Basic Interactive Mode Demo.

Question Answering with expected result evaluator

yival demo --qa_expected_results

Once started, navigate to the following address in your web browser: http://127.0.0.1:8073/

Click to view the screenshot

For more details, check out the Question Answering with expected result evaluator.