Today Juan Luis Cano RodrΓguez from QuantumBlack, AI by McKinsey will give a workshop at PyData Global titled "Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro" in which attendees will learn how to create a complex AI pipeline using Hugging Face transformers and turn it into a Kedro project that cleanly separates code from configuration and data.
Tune in at 16:00 UTC! https://global2023.pydata.org/cfp/talk/NFZDPN/
#python #pydata #pydataglobal #pydataglobal2023 #kedro #huggingface #aipipelines
Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro PyData Global 2023
In this tutorial you will learn how to create a complex AI pipeline using Hugging Face transformers, turn it into a Kedro project that cleanly separates code from configuration and data, and deploy it to production so it starts delivering value. To that end, we will build a system that summarizes and classifies social media posts using several Hugging Face pre-trained models. The outline will be as follows: 1. Introduction (5m) 2. Who needs ChatGPT? Commercial vs open-source AI (5m) 3. Fighting spaghetti data science with Kedro (15m) 4. Using Hugging Face models (15m) 5. Separating code from data using the Kedro catalog (10m) 6. Refactoring the code using Kedro pipelines (20m) 7. Deploying to production (15m) 8. Conclusions
