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Openai bolts for geniusrise

Project description

Grace Hopper

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About

Geniusrise is a modular, loosely-coupled AgentOps / MLOps framework designed for the era of Large Language Models, offering flexibility, inclusivity, and standardization in designing networks of AI agents.

It seamlessly integrates tasks, state management, data handling, and model versioning, all while supporting diverse infrastructures and user expertise levels. With its plug-and-play architecture, Geniusrise empowers teams to build, share, and deploy AI agent workflows across various platforms.

Openai Bolts

This is a collection of generic streaming and (micro) batch bolts interfacing with the openai ecosystem.

Includes:

No. Name Description Input Type Output Type
1 Text Classification Fine-tuning for text classification tasks Batch Batch
2 Instruction Tuning Fine-tuning for instruction tuning tasks Batch Batch
3 Commonsense Reasoning Fine-tuning for commonsense reasoning tasks Batch Batch
4 Language Modeling Fine-tuning for language modeling tasks Batch Batch
5 Named Entity Recognition Fine-tuning for named entity recognition tasks Batch Batch
6 Question Answering Fine-tuning for question answering tasks Batch Batch
7 Sentiment Analysis Fine-tuning for sentiment analysis tasks Batch Batch
8 Summarization Fine-tuning for summarization tasks Batch Batch
9 Translation Fine-tuning for translation tasks Batch Batch

Examples

Please refer to the examples directory.

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