![A How-To Guide On Fine-Tuning](/content/images/size/w600/2024/08/1-7tee4dft03qbg6rujqtdzq-1.png)
A How-To Guide On Fine-Tuning
Fine-tuning is an extremely powerful prompt engineering technique. This how-to guide will show you exactly how to do it effectively.
Fine-tuning is an extremely powerful prompt engineering technique. This how-to guide will show you exactly how to do it effectively.
Jinja2 is a powerful templating engine that can take your prompts to the next level. See how it’s more powerful than just f-string.
The Importance of Tool Calling
Tips on how to prompt Claude more effectively. Take-aways from a talk by Anthropic’s “Prompt Doctor” (Zack Witten).
Ground truth is subjective, and the only reliable way to evaluate prompts is with real user metrics. A/B testing helps you safely iterate.
LLM tool calling as an AI idiom, its benefits over JSON mode, and examples of how to use function calling in your real projects.
For some reason, it feels like every startup now has its own custom-trained model. This is probably not a good idea.
This post was cross-posted with permission from Greg Baugues. You can find the original at https://www.haihai.ai/friction/
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