YoVDO

Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow

Offered By: The Machine Learning Engineer via YouTube

Tags

MLOps Courses Data Science Courses Machine Learning Courses GitHub Courses Jupyter Notebooks Courses MLFlow Courses Fine-Tuning Courses Flan-T5 Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

MLOps MLFlow: Fine tune Flan-T5 Seq-to-Seq Classification.#datascience #machinelearning


Taught by

The Machine Learning Engineer

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent