https://github.com/geniusrise/geniusrise-openai
Bolts interfacing with the openai ecosystem
https://github.com/geniusrise/geniusrise-openai
agent-based-framework agentops fine-tuning geniusrise llm-framework llmops mlops openai
Last synced: 5 months ago
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Bolts interfacing with the openai ecosystem
- Host: GitHub
- URL: https://github.com/geniusrise/geniusrise-openai
- Owner: geniusrise
- Created: 2023-08-28T20:09:09.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-09-23T10:18:18.000Z (over 2 years ago)
- Last Synced: 2024-09-16T12:44:16.790Z (over 1 year ago)
- Topics: agent-based-framework, agentops, fine-tuning, geniusrise, llm-framework, llmops, mlops, openai
- Language: Python
- Homepage: https://geniusrise.ai/
- Size: 6.86 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Documentation
---
## 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](#text-classification) | Fine-tuning for text classification tasks | Batch | Batch |
| 2 | [Instruction Tuning](#instruction-tuning) | Fine-tuning for instruction tuning tasks | Batch | Batch |
| 3 | [Commonsense Reasoning](#commonsense-reasoning) | Fine-tuning for commonsense reasoning tasks | Batch | Batch |
| 4 | [Language Modeling](#language-modeling) | Fine-tuning for language modeling tasks | Batch | Batch |
| 5 | [Named Entity Recognition](#named-entity-recognition) | Fine-tuning for named entity recognition tasks | Batch | Batch |
| 6 | [Question Answering](#question-answering) | Fine-tuning for question answering tasks | Batch | Batch |
| 7 | [Sentiment Analysis](#sentiment-analysis) | Fine-tuning for sentiment analysis tasks | Batch | Batch |
| 8 | [Summarization](#summarization) | Fine-tuning for summarization tasks | Batch | Batch |
| 9 | [Translation](#translation) | Fine-tuning for translation tasks | Batch | Batch |
## Examples
Please refer to the [examples](./examples/) directory.