Tired of manual prompt tweaking? Watch the latest Llama tutorial on how to optimize your existing GPT or other LLM prompts for Llama with `llama-prompt-ops`, the open-source Python library! In this video, Partner Engineer Justin Lee demonstrates installation, project setup, migrating your first prompt, and analyzing performance gains. Watch now to discover: ✨ Why systematic prompt optimization is crucial for migrating from GPT to Llama. 💻 A live code walkthrough of `llama-prompt-ops` in action

New short course: Prompt Engineering with Llama 2, built in collaboration with Meta, and taught by Amit Sangani! Meta's Llama 2 has been game-changing for AI. Building with open source lets you control your own data, scrutinize errors, update (or not) the models as you please, and work alongside the global community advancing open models. Llama isn't a single model, it's a collection of models. In this course, you'll: - Learn the differences between different Llama 2 flavors, and when to use eac

🦙 We just released a new, free resource for the Llama community. Introducing 'Prompt Engineering with Llama 2'. This new interactive guide, created by research teams at Meta, was designed to cover prompt engineering and best practices to help developers, researchers and enthusiasts working with large language models produce stronger outputs. Access the guide in the llama-recipes repo ➡️ https://bit.ly/3UcvzJy | AI at Meta

Llama chasing the Goats this morning. #eddyfamilyfarm #farming #farmlife #goats | Eddy Family Farm