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 and MLOps with Databricks: LLMs and HuggingFace Transformers
The Machine Learning Engineer via YouTube
Overview
Syllabus
ML & MLOPS Databricks: LLMs HuggingFace Transformers & Databricks #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
ML and MLOps with Databricks: LLMs Using HuggingFace Transformers - Spanish
-
ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks
-
MLOps | Machine Learning Operations
-
ML y MLOPS Databricks - REST API v2 en Español
-
Summarize Text using SQL and LLMs in BigQuery ML
-
ML and MLOps Databricks: REST API v2 for Data Science and Machine Learning
