Prompt Engineering Techniques with Mistral 7B Instruct for Data Science and Machine Learning
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore various prompt engineering techniques using the Mistral 7B Instruct model in this 40-minute tutorial. Learn about zero-shot and few-shot prompting, Chain of Thought (CoT), and Retrieval-Augmented Generation (RAG) through practical examples. Gain insights into crafting effective prompts for data science and machine learning applications. Access the accompanying Jupyter notebook on GitHub for hands-on practice and further exploration of the concepts covered. For those experiencing audio issues, an alternative version using Microsoft Phi3 is available.
Syllabus
Prompt Engineering: Mistral 7B Instruct (Techniques) #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera