APPLIED AI - A SMARTER FOUNDATION
THE BEST AI APPLICATIONS ARE INCORPORATING SPECIALIZED INTELLIGENCE AND TRUST TO MAKE LLMS WORK FOR CORPORATE AMERICA.
GENERATIVE AI models don't know what they don't know. For an individual playing around with the tech. that's an annoyance. For a company, it's a nightmare. To win over corporate America, the best AI application developers are building their own AI around the foundation model, leveraging unique technology or data to get the good out of LLMs while managing the bad.
Some of the most effective AI applications add domain expertise that doesn't reside in LLM training data. Casetext's CoCounsel gets its basic text summarization and writing capabilities from OpenAl's GPT-4, but the LLM also has access to "ground truth" information from proprietary databases of verified legal data. Seekr, which makes a search engine that scores news content on its reliability, finetunes its LLM with a large repository of well-reported. well-written news articles.
Building that kind of trust into generative AI is the other essential value that applied AI purveyors are seeking to add. When Salesforce launched its Einstein AI framework in March 2023, it didn't just let customers of its popular CRM software bring generative AI to their sales and marketing. Because many CEOs and CIOs fear the "leakage" of their valuable intelligence, which resides in Salesforce's cloud, the company built the Einstein Trust Layer, which masks the proprietary data before it passes through an LLM.
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