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Great AI starts with great prompts, and Salesforce Einstein 1 Platform makes it easy to create prompts grounded in your customer data. The Einstein Trust Layer ensures your data is never stored outside of Salesforce, so these prompts are trusted. What kind of prompts will you build?

193,003 Aufrufe • vor 2 Jahren •via X (Twitter)

9 Kommentare

Profilbild von Elon Musk
Elon Muskvor 2 Jahren

@salesforce Interesting

Profilbild von Paulo Duarte
Paulo Duartevor 2 Jahren

@salesforce End-user training will now include a ‘How to write good prompts’ section 😉

Profilbild von FLORENT DELOUCHE
FLORENT DELOUCHEvor 2 Jahren

@salesforce Build me a report with leads who could be opportunities and the prospects who could be customer

Profilbild von Remco Livain
Remco Livainvor 2 Jahren

@salesforce Incredible what Einstein can do. Are there any bigger initiatives to get rid of the windows 95 Ui design vibes? Does it work, yes! Do I enjoy looking at it all day… meh 🫤

Profilbild von Déborah
Déborahvor 2 Jahren

@salesforce I've noticed this for some time. Among the multiple image possibilities generated with the same prompt, midjourney responds according to my habits. If I want to break out of my habits it's quite difficult.

Profilbild von Nighthawk
Nighthawkvor 2 Jahren

@salesforce With AI writing emails, the quantity of emails sent will explode. And there are already too many emails. I guess we can then have an AI filter received emails to balance it out.

Profilbild von Vivek Sharma, PhD, CFA®, CFP®
Vivek Sharma, PhD, CFA®, CFP®vor 2 Jahren

@salesforce That makes a great quotable quote: "Great AI starts with great prompts" - @Benioff @sama @StevenMusielski @Scobleizer

Profilbild von Trade Algo
Trade Algovor 2 Jahren

@salesforce "I hope this email finds you well." = Ai

Profilbild von Salesforce Customer Success
Salesforce Customer Successvor 2 Jahren

Hi Salu! Thanks for reaching out. Is there anything we can assist you with? ^RL

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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

64,146 Aufrufe • vor 1 Jahr