Learn how to fine-tune a Flan-T5 model using Sequence to Sequence Classification in this 47-minute tutorial. Explore the process of implementing MLOps practices with MLFlow while working on a data science and machine learning project. Follow along with the provided GitHub notebook to gain hands-on experience in customizing and optimizing the Flan-T5 model for specific classification tasks. Enhance your skills in model fine-tuning, MLOps, and sequence-to-sequence learning techniques applicable to various natural language processing challenges.
Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOps MLFlow: Fine tune Flan-T5 Seq-to-Seq Classification.#datascience #machinelearning
Taught by
The Machine Learning Engineer
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