Sending the same email to your entire audience doesn't work anymore. Learn how AI can make each message relevant for each individual.
Introduction Imagine you’re working on an AI product that can summarize customer success phone calls for training purposes. Your company’s product leverages large language models (LLMs) to summarize, synthesize, triage, and generate relevant…
Hot topics included night mode, the updated visual style for the Lightning user interface, and the future of product design at Salesforce.
Looking for help choosing the right AI tools for your SMB? We’ve got you covered.
As the development and deployment of large language models (LLMs) accelerates, evaluating model outputs has become increasingly important. The established method of evaluating responses typically involves recruiting and training human evaluators, having them…
Learn about new capabilities that help businesses scale personalization and improve team efficiency
Learn how you can use next-gen data and AI capabilities to bring your internal teams together and build customer-driven relationships
Co-authored by Hannah Cha, Orlando Lugo, and Sarah Tan At Salesforce, our Responsible AI & Technology team employs red teaming practices to improve the safety of our AI products by testing for malicious…
Retrieval Augmented Generation (RAG) has not only gained steam as one of the most invested areas of research in generative AI but also gathered considerable popularity and commercialization opportunities. RAG is typically applied…
Keep the learning going with Trailblazer Dreamforce Quests and enter to win exciting prizes.
