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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 (38 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 256

Skills You Will Learn

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

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 15 min

Platform

  • SkillsNetwork

Last Update

  • March 14, 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

As a data scientist at the Ecosystems Skills Network at IBM and a Ph.D. candidate in Economics at the University of Calgary, I bring a wealth of experience in unraveling complex problems through the lens of data. What sets me apart is my ability to seamlessly merge technical expertise with effective communication, translating intricate data findings into actionable insights for stakeholders at all levels. Follow my projects to learn data science principles, machine learning algorithms, and artificial intelligence agent implementations.

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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 am a Data Scientist in the IBM. I am also a PhD Candidate in the University of Waterloo.

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