https://github.com/ansh420/llmops
A comprehensive repository dedicated to streamlining the deployment, monitoring, and management of Large Language Models (LLMs) in production environments.
https://github.com/ansh420/llmops
ai comet-ml deployment llmops llms
Last synced: 6 months ago
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A comprehensive repository dedicated to streamlining the deployment, monitoring, and management of Large Language Models (LLMs) in production environments.
- Host: GitHub
- URL: https://github.com/ansh420/llmops
- Owner: Ansh420
- Created: 2025-03-24T12:59:07.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-04-01T05:11:12.000Z (6 months ago)
- Last Synced: 2025-04-01T06:22:54.770Z (6 months ago)
- Topics: ai, comet-ml, deployment, llmops, llms
- Language: Jupyter Notebook
- Homepage:
- Size: 590 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# LLMOps: Large Language Model Operations
A comprehensive repository dedicated to streamlining the deployment, monitoring, and management of Large Language Models (LLMs) in production environments. This project covers end-to-end workflows for LLMOps, including data preprocessing, integration with LLM APIs, fine-tuning, application development, deployment, and MLOps practices.
## 📌 Overview
This repository serves as a practical guide for implementing LLMOps pipelines, offering code examples, tutorials, and resources to operationalize LLMs like OpenAI GPT-3, GPT-4, and models built with LangChain. It emphasizes scalability, reproducibility, and best practices for deploying LLM-powered applications.
## 🚀 Features
**End-to-End Workflows**: From data preparation to deployment and monitoring.
**Code Examples**: Jupyter notebooks and scripts for common LLMOps tasks.
**Tools & Frameworks**: Integration with OpenAI API, LangChain, Hugging Face, FastAPI, Docker, and more.
**MLOps Integration**: CI/CD pipelines, model monitoring, and infrastructure-as-code (IaC) templates.
**Educational Resources**: Curated guides, research papers, and tutorials.
## 🛠Technologies
**Language Models:** OpenAI GPT-3/4, Hugging Face Transformers
**Frameworks**: LangChain, PyTorch, TensorFlow
**Deployment:** FastAPI, Docker, Kubernetes
**MLOps:** MLflow, DVC, GitHub Actions, Grafana/Prometheus
**Data Processing:** Pandas, NumPy, SpaCy.