Create better prompts for o1

Create better prompts for o1 Create better prompts for o1

Let's see how to do prompt engineering with o1 using an example.

Goallink image 6

I want a list of the best medium-length hiking trails less than two hours from Madrid.

Return Formatlink image 7

Each trail should offer a unique and exciting adventure and be relatively unknown.

For each route, return the name of the route as you would find it on AllTrails, and then provide the starting address of the route, the ending address of the route, the distance, the driving time, the duration of the route, and what makes it a unique and exciting adventure.

Return the top 3.

Warningslink image 8

Make sure the trail name is correct, that the trail actually exists, and that the time is accurate.

Contextlink image 9

For context: my family and I go on a lot of hikes! We've done practically all the local hikes around Madrid. We definitely want to get out of the city. We recently hiked up Mount Guadarrama, from the bottom of the stairs to the viewpoint overlooking the lake.
It was very long, and this weekend we'd like to do something different. We love delicious food. One thing I loved about the Guadarrama hike was that it ended with a celebration (getting to the city for breakfast!).

Continue reading

Last posts -->

Have you seen these projects?

Horeca chatbot

Horeca chatbot Horeca chatbot
Python
LangChain
PostgreSQL
PGVector
React
Kubernetes
Docker
GitHub Actions

Chatbot conversational for cooks of hotels and restaurants. A cook, kitchen manager or room service of a hotel or restaurant can talk to the chatbot to get information about recipes and menus. But it also implements agents, with which it can edit or create new recipes or menus

Subtify

Subtify Subtify
Python
Whisper
Spaces

Subtitle generator for videos in the language you want. Also, it puts a different color subtitle to each person

View all projects -->

Do you want to apply AI in your project? Contact me!

Do you want to improve with these tips?

Last tips -->

Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.

Flow edit

Flow edit Flow edit

FLUX.1-RealismLora

FLUX.1-RealismLora FLUX.1-RealismLora
View all containers -->

Do you want to apply AI in your project? Contact me!

Do you want to train your model with these datasets?

short-jokes-dataset

Dataset with jokes in English

opus100

Dataset with translations from English to Spanish

netflix_titles

Dataset with Netflix movies and series

View more datasets -->