Prompt Engineering Techniques with Mistral 7B Instruct for Data Science and Machine Learning
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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