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Day 1: Foundational Large Language Models & Text Generation and Prompt Engineering

Complete the Intro Unit – “Foundational Large Language Models & Text Generation”, which is:
➡️ [Optional] Listen to the summary podcast episode (https://youtu.be/mQDlCZZsOyo) for this unit (created by NotebookLM, https://notebooklm.google.com/).
➡️ Read the “Foundational Large Language Models & Text Generation” whitepaper – https://www.kaggle.com/whitepaper-foundational-llm-and-text-generation.

Complete Unit 1 – “Prompt Engineering”, which is:
➡️ [Optional] Listen to the summary podcast episode (https://youtu.be/F_hJ2Ey4BNc) for this unit (created by NotebookLM).
➡️ Read the “Prompt Engineering” whitepaper – https://www.kaggle.com/whitepaper-prompt-engineering.
➡️ Complete this code lab (https://www.kaggle.com/code/markishere/day-1-prompting) on Kaggle where you’ll learn prompting fundamentals. Make sure you phone verify (https://www.kaggle.com/settings) your account before starting, it’s necessary for the code labs.

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=yt-sub

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Advance your data science skills:
Take our free online courses: http://www.kaggle.com/learn/overview?utm_medium=youtube&utm_source=channel&utm_campaign=yt-learn
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Download clean datasets from Kaggle: http://www.kaggle.com/docs/datasets?utm_medium=youtube&utm_source=channel&utm_campaign=yt-datast
Sign up for a Kaggle Competition: http://www.kaggle.com/docs/competitions?utm_medium=youtube&utm_source=channel&utm_campaign=yt-comps
Explore the Kaggle Public API: http://www.kaggle.com/docs/api?utm_medium=youtube&utm_source=channel&utm_campaign=yt-docs

Kaggle
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