ML and MLOps with Databricks: LLMs and HuggingFace Transformers

Explore the world of Large Language Models (LLMs) using HuggingFace Transformers and Databricks in this comprehensive video tutorial. Dive into various applications of LLMs, including summarization, translation, sentiment analysis, zero-shot learning, and few-shot prompting. Learn how to leverage these powerful tools for data science and machine learning tasks. Access the accompanying Jupyter notebook on GitHub to follow along and practice implementing these techniques in a hands-on environment. Gain valuable insights into ML and MLOps with Databricks, enhancing your skills in working with cutting-edge natural language processing technologies.

ML & MLOPS Databricks: LLMs HuggingFace Transformers & Databricks #datascience #machinelearning