Meta
Meta
FacebookXYouTubeLinkedIn
Documentation
OverviewModels Getting the Models Running Llama How-To Guides Integration Guides Community Support
Community
Community StoriesOpen Innovation AI Research CommunityLlama Impact Grants
Resources
CookbookCase studiesVideosAI at Meta BlogMeta NewsroomFAQPrivacy PolicyTermsCookie Policy
Llama Protections
OverviewLlama Defenders ProgramDeveloper Use Guide
Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookie Policy
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide
Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookie Policy
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide
Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookie Policy
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide
Meta
Models & Products
Docs
Community
Resources
Llama API
Download models
Llama videos
How to optimize your prompt for Llama

June 26, 2025

How to optimize your prompt for Llama

Learn how to optimize your existing GPT or other LLM prompts for Llama with `llama-prompt-ops`, the open-source Python library. In this tutorial, Partner Engineer Justin Lee demonstrates installation, project setup, migrating your first prompt, and analyzing performance gains. Stop manual prompt tweaking and achieve consistent, data-driven results with Llama.

This video covers:

•
Introduction to Llama Prompt Ops: Discover why systematic prompt optimization is crucial for migrating from GPT to Llama.
•
Code Walkthrough: See `llama-prompt-ops` in action as Justin optimizes a prompt for a customer service classification task. Learn how to:
•
Install the package (`pip install llama-prompt-ops`)
•
Create a new migration project (`llama-prompt-ops create project-name`)
•
Examine the original prompt and configuration file (YAML)
•
Run the migrate command for optimization
Get started with `llama-prompt-ops`on GitHub and build amazing Llama applications today.
Start building
Explore more
Llama Stack RAG Walkthrough
Llama Stack RAG Walkthrough
Open Approach to Trust & Safety: Llama Guard 3, Prompt Guard & More
Open Approach to Trust & Safety: Llama Guard 3, Prompt Guard & More