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dotpyu authored Nov 11, 2023
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Test Status: ![test status](https://github.com/BatsResearch/alfred/actions/workflows/tests.yml/badge.svg?branch=main)

# Overview

Alfred is a prototype framework for integrating large pretrained model into programmatic weak supervision pipelines.
Alfred provides an intuitive and user-friendly interface, enabling users to quickly create and refine prompts as supervision sources and interact with large models.
Furthermore, Alfred includes tools for label modeling, allowing the mixed signals from prompted model responses to be combined, distilled and denoised.
Additionally, Alfred enables memory- and computation- intensive models to be run on cloud or computing clusters with optimized batching mechanisms, significantly increasing query throughput.
Alfred aims to reduce annotation cost and time by making efficient use of LLMs, allowing users to make the most of their resources.

![alt text](assets/examples.png)
![alt text](assets/poster.png)

# News Update
- **[[GPT-4V(ision)(https://openai.com/research/gpt-4v-system-card) Support]**
Alfred now supports GPT-4V(ision). Use it to streamline your image annotation tasks! For example:
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claude.chat()
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# Overview

Alfred is a prototype framework for integrating large pretrained model into programmatic weak supervision pipelines.
Alfred provides an intuitive and user-friendly interface, enabling users to quickly create and refine prompts as supervision sources and interact with large models.
Furthermore, Alfred includes tools for label modeling, allowing the mixed signals from prompted model responses to be combined, distilled and denoised.
Additionally, Alfred enables memory- and computation- intensive models to be run on cloud or computing clusters with optimized batching mechanisms, significantly increasing query throughput.
Alfred aims to reduce annotation cost and time by making efficient use of LLMs, allowing users to make the most of their resources.

![alt text](assets/examples.png)
![alt text](assets/poster.png)

# Citation
If you find Alfred useful, please cite the following work. Thank you!

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