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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 ->

100,589 次观看 • 1 年前 •via X (Twitter)

10 条评论

Cluster Protocol 的头像
Cluster Protocol1 年前

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

The Rundown AI 的头像
The Rundown AI2 年前

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).

Anjali Rajput | Cluster Protocol 的头像
Anjali Rajput | Cluster Protocol1 年前

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

Cluster Protocol 的头像
Cluster Protocol1 年前

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

Yuli Kay 的头像
Yuli Kay1 年前

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

Cluster Protocol 的头像
Cluster Protocol1 年前

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

Tushar Khatwani 的头像
Tushar Khatwani1 年前

@Aptos congratulations

Cluster Protocol 的头像
Cluster Protocol1 年前

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

Y J | Cluster Protocol | e/acc 的头像
Y J | Cluster Protocol | e/acc1 年前

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

Cluster Protocol 的头像
Cluster Protocol1 年前

@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 次观看 • 1 年前