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.
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 |
Please refer to the examples directory.