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Introducing Candy Machine 🍭🤖 An AI-powered vault that doesn't open with keys, it opens with prompts. To open it? You’ve got to prompt your way in. Craft the right prompt, convince the AI, and the reward is yours. Built on Aptos by Cluster Protocol Think you can outsmart AI ->

100,588 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля Cluster Protocol
Cluster Protocol1 год назад

Here is a step by step guide on how candy machine works:

Фото профиля The Rundown AI
The Rundown AI2 лет назад

AI won't replace you, but a person using AI will. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Фото профиля Anjali Rajput | Cluster Protocol
Anjali Rajput | Cluster Protocol1 год назад

@Aptos Dare to convince AI? Try to convince candy machine.

Фото профиля Cluster Protocol
Cluster Protocol1 год назад

@Aptos indeed people are trying to break the vaults, lets see who breaks it first.

Фото профиля Yuli Kay
Yuli Kay1 год назад

@Aptos Okay okay, you convinced me fam 😄😎 Gonna go and give it a try!!

Фото профиля Cluster Protocol
Cluster Protocol1 год назад

@Aptos hope you have a good time trying to break the vaults.

Фото профиля Tushar Khatwani
Tushar Khatwani1 год назад

@Aptos congratulations

Фото профиля Cluster Protocol
Cluster Protocol1 год назад

@Aptos thank you tushar, would appreciate your feedback there after testing it of there.

Фото профиля Y J | Cluster Protocol | e/acc
Y J | Cluster Protocol | e/acc1 год назад

@Aptos Candy Machine it is. If you got guts, convince the Vault and win free cash there.

Фото профиля Cluster Protocol
Cluster Protocol1 год назад

@Aptos Thanks chief for the support there.

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This is next-level smart: An open-source platform that evaluates your prompts and automatically refines them based on the results. ​ Of course, it feels obvious after you see it: ​ • You write a prompt • The system evaluates it across different scenarios • Based on the results, it refines it to improve results ​ I recorded a quick video to show you how it works. It's pretty cool stuff! ​ Here are some of the problems and best practices for teams building AI applications: ​ 1. Testing your prompts manually doesn't scale 2. Prompts should not be spread throughout the codebase 3. Non-technical people need easy access to your prompts 4. Prompts can always use a version history to track changes 5. Monitoring the performance of prompts overtime is critical ​ Evaluating the prompts is what keeps me up at night from this list. Of all the conversations I've had with companies and people building AI applications, this is the area that's causing the most pain. ​ Testing a prompt is difficult. Think about how you'd test the response of a model subjectively. What do you account for, "tone," "objectivity," "completeness," "creativity," "readability," etc.? ​ Last week, I met the developers behind Latitude, an open-source prompt engineering platform trying to solve all of these issues. You can try the platform in two ways: ​ • You can self-host the platform. Free and open-source. • If you want to try their online product, their free tier is huge. ​ Here is the link: ​ Thanks to the Latitude team for collaborating with me on this post, and congratulations on going live with their product!

Santiago

64,141 просмотров • 1 год назад