Introducing Prompt Builder: Supercharge Every Workflow with Trusted AI Prompts Salesforce Admins

With generative AI, Einstein helps make every company and employee more productive and efficient across sales, service, marketing, and commerce. At the heart of AI Cloud is Einstein, the world’s first AI for CRM, which now powers over 1 trillion predictions per week across Salesforce’s applications. More recently, Salesforce’s ProGen project revealed that by creating language models based around amino acids instead of letters and words, generative AI was able to produce proteins that have not been found in nature, and in many cases, are more functional. As the models get smarter, partially off the back of user data, we should expect these drafts to get better and better and better, until they are good enough to use as the final product. Despite all the fundamental research progress, these models are not widespread.

Deploy AI with Ethics by Design, intentionally embedding ethical and humane use guiding principles in the design, development, and delivery of software. Equip Einstein Copilot with a menu of AI-powered, domain-specific actions that it can mix and match based on your customer’s needs. Our joint team of data scientists, solution architects, cloud engineers, UX designers and organization culture specialists will work side by side with company teams. This fund will accelerate our commitment to fostering the next generation of innovation and we’re excited to see how these companies reinvent how the world works. The Generative AI Fund has already invested in several top AI companies, including Hearth and You.com.

Salesforce and Google Expand Partnership to Deliver a New Era of Business Productivity Powered by Generative AI

“For example, a marketer could ask Prompt Builder to generate a personalized message and discount for a new product based on the customer’s purchase history and location. Einstein Copilot will then auto-generate personalized messages that align with individual customer preferences, reference past purchases, and demographic information,” Salesforce’s press release states. Using generative AI often requires some degree “trial and error,” entering multiple variations of prompts to coax an GenAI model to deliver the exact (or close Yakov Livshits enough) response you want. Einstein Copilot Studio also contains a “Prompt Builder” that lets nontechnical users simply describe what they want to do, then the Prompt Builder turns the plain English into the right prompt to produce their desired result. All throughout this year, Salesforce has been eager to show how rapidly and robustly it’s adopting generative AI — AI that can generate new content based on prompts and simple user inputs. It launched a conversational CRM tool, Einstein GPT, in partnership with OpenAI, in May.

Generative AI is already helping people create everything from resumes and business plans to lines of code and digital art. But the technology’s potential at Salesforce and for enterprise businesses goes beyond making images of polar bears playing bass guitar. This collaboration will bring together Salesforce customer relationship management (CRM) technologies, including Einstein and Data Cloud, with McKinsey’s proprietary AI and data models, assets, and capability building power. McKinsey and Salesforce will help companies bring together relevant structured and unstructured data to improve customer buying experiences, increase sales productivity, personalize digital marketing campaigns and reduce call resolution time.

Salesforce Execs Weigh In: What Is Generative AI?

Generative AI is well on the way to becoming not just faster and cheaper, but better in some cases than what humans create by hand. Every industry that requires humans to create original work—from social media to gaming, advertising to architecture, coding to graphic design, product design to law, marketing to sales—is up for reinvention. The dream is that generative AI brings the marginal cost of creation and knowledge work down towards zero, generating vast labor productivity and economic value—and commensurate market cap.

Once data has been scanned through Data Detect, you can confirm that there are no surprises in that data, like credit card numbers or email addresses in fields where that kind of data shouldn’t exist. As Prompt Builder becomes generally available (GA), it will support any out-of-the-box prompt templates developed by every cloud, industry, or ISV so customers can customize and continue to enrich with their own data. With these integrations, users will be able to seamlessly work across platforms through Salesforce and Google Workspace’s generative AI assistants, Salesforce’s Einstein Copilot, and Duet AI in Google Workspace. And Einstein lets you work with any model in an ecosystem of industry-leading LLM platforms.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

For example, Einstein AI technologies deliver more than 200 billion daily predictions across the Customer 360, helping businesses close deals faster, provide AI-powered human-like conversations for frequently asked questions, and better understand customer behavior. That’s why Salesforce is building trusted AI capabilities with embedded guardrails and guidance to help catch potential problems before they happen. If the world is going to realize the potential of generative AI, it will need good reasons to trust these models at every level.

By granting access on a need-to-know basis, you reduce the risk of AI models and unauthorized individuals accessing sensitive data. This protects against potential misuse of that data while ensuring customer privacy. Privacy Center can help verify that your AI processes are consented for use in training and prompts. Privacy Center can also help you create retention policies to manage the lifecycle of data used by and generated by AI, including call transcripts, chatbots, and cases automatically logged by AI. Einstein is natively embedded into the Salesforce Platform and leverages data from CRM and external applications to provide insights, predictions, and generated content directly in the flow of work. At the heart of AI Cloud is Einstein, the world’s first AI for CRM, which now powers over 1 trillion predictions per week across Salesforce’s applications.

Salesforce Announces AI Cloud – Bringing Trusted Generative AI to the Enterprise

“We see a ton of value in implementing Salesforce’s conversational AI assistants to drive greater customer engagement,” she said. “We make sure that whatever LLMs we use underneath the covers has zero retention, that it cannot store data beyond just the answer it’s going to give,” Krishnaprasad told VentureBeat. By registering, you confirm that you agree to the processing of your personal data by Salesforce as described in the Privacy Statement.

• Dary Hsu is a Senior Product Marketing Manager on the Platform team at Salesforce.
• Companies want to ensure tech investments deliver a measurable ROI and want simplicity – a platform to see relevant data, an easy way to ask questions and insightful data summaries and information to work faster and smarter.
• For example, you could extend the borders of a picture, allowing the AI to draw in what is likely to appear based on the context of the original picture.
• The internet, with its billion web pages, is a great source of sample data.
• We can think of Generative AI apps as a UI layer and “little brain” that sits on top of the “big brain” that is the large general-purpose models.

If you want to benefit from the AI, you can check our data-driven lists for AI platforms, consultants and companies. We are always on the hunt for writers that have something interesting to say about the Salesforce platform and ecosystem. Join our group of 500+ trusted guest posters – Click here to start the conversation. Salesforce hosts the infrastructure for its platform, but that does not mean that businesses are not responsible for protecting their data. It is up to each organization to implement a robust backup and recovery plan to protect their Salesforce data.

Image Generation

It has the potential to change the way we work by increasing efficiency and the speed of innovation. At TrailblazerDX, we announced Einstein GPT, which brings the incredible power of generative AI to the Salesforce platform. Prompt Builder essentially turns every admin into a highly sought-after prompt engineer. You’re no longer constrained by how technical LLMs can be, and instead can focus on building the experiences that are deeply embedded in the flow of work, while adding and enriching prompts better than anyone else.

Salesforce Ventures is expanding its Generative AI Fund, doubling the $250 million fund to $500 million as part of its continuing commitment to bolster the AI startup ecosystem and spark the development of responsible generative AI. Salesforce Ventures has also increased the number of AI innovators in the fund, adding Humane and Tribble to its AI startup ecosystem. While the potential of generative AI is enormous, it “is not without risks,” according to Paula Goldman, Salesforce Chief Ethical and Humane Use Officer and Kathy Baxter, Principal Architect for Salesforce’s Ethical AI practice.

But humans are not only good at analyzing things—we are also good at creating. Up until recently, machines had no chance of competing with humans at creative work—they were relegated to analysis and rote cognitive labor. But machines are just starting to get good at creating sensical and beautiful things. This new category is Yakov Livshits called “Generative AI,” meaning the machine is generating something new rather than analyzing something that already exists. After two days of listening to this, I started to wonder how Benioff could be so sure his large language models aren’t behaving as badly as everyone else’s and training on copyright-protected data.