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Write Llama 3.3 prompts like a pro

BeginnerGuided Project

Llama 3.3 is a state-of-the-art, open-source LLM that outperforms many models, including models from OpenAI's GPT-4o and Claude 3.5 Sonnet, on a variety of benchmarks. To get the most out of Llama 3.3, a special prompt format should be used. This project provides instructions on the optimal way to interact with Llama 3.3 to ensure you receive the best possible responses.

4.3 (39 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 297

Skills You Will Learn

  • LLM, Artificial Intelligence, Python, Prompt Engineering, LangChain

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 15 min

Platform

  • SkillsNetwork

Last Update

  • December 17, 2025
About this Guided Project

Why LLAMA 3.3?

Llama 3.3 is an advanced open-source large language model (LLM) that is capable of taking multilingual input and generating multilingual and code output. Llama 3.3 beats OpenAI's GPT-4o and Claude 3.5 Sonnet on a variety of benchmarks:*
This project will teach you how to work with Llama 3.3. You'll learn how to give it instructions (called "prompts") that maximize your chances of obtaining high-quality responses. We'll use examples and a step-by-step exercise to ensure you understand everything.

Objectives:

  1. Learn the right way to structure prompts for Llama 3.3.
  2. Practice using Llama 3.3 with hands-on exercises with the IBM's watsonx.ai LLM interface.
  3. Use LangChain to construct custom prompt templates.

* https://www.llama.com/


What You'll Need:

All you need is a browser and general knowledge of Python. 
Access to Llama 3.3 LLM hosted on watsonx.ai is provided free of charge.

Instructors

Wojciech "Victor" Fulmyk

Data Scientist at IBM

Wojciech "Victor" Fulmyk is a Data Scientist and AI Engineer on IBM’s Skills Network team, where he focuses on helping learners build expertise in data science, artificial intelligence, and machine learning. He is also a Kaggle competition expert, currently ranked in the top 3% globally among competition participants. An economist by training, he applies his knowledge of statistics and econometrics to bring a distinctive perspective to AI and ML—one that considers both technical depth and broader socioeconomic implications.

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Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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Contributors

Kang Wang

Data Scientist

I was a Data Scientist in the IBM. I also hold a PhD from the University of Waterloo.

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