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# AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment


- **Date:** Friday, Jul 19, 2024
- **Time:** 13:00–13:30 (30 min)
- **Room:** STAGE 3 (120)
- **Event:** World Congress 2024

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Description

I share a novel framework called MM Life Circles, which allow teams to visualize and manage the entire lifecycle of generative AI models, from research to deployment including best practices for handover between each phase.

So essentially, I start with choosing a generative AI model as an example, then cover the data side of it followed by training frameworks.

- Comprises of research platforms such as Python, R studio and associated libraries
- Covers model building and tuning frameworks such as [Pytorch Lightning](https://www.pytorchlightning.ai/index.html), [Weights & Biases](https://wandb.ai/site), [mlflow](https://github.com/mlflow/mlflow) etc.
- Benchmarking & Optimization Tools such as [onnx](https://onnx.ai/), [tensorflow](https://www.tensorflow.org/tensorboard), [tensorRT](https://developer.nvidia.com/tensorrt) optimization

## Speaker

### [Joy](https://www.wearedevelopers.com/@joy)

Lead Data Scientist at DCMN GmbH


## Related talks at this congress

- [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/events/world-congress-2024/sessions/53-supercharge-your) — Cedric Clyburn
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/events/world-congress-2024/sessions/234-bringing-the-power) — Krzysztof Cieślak
- [Striving for simplicity in Data & ML](https://www.wearedevelopers.com/events/world-congress-2024/sessions/380-striving-for) — Matthias Niehoff
- [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/events/world-congress-2024/sessions/276-make-it-simple-using) — Duan Lightfoot