Free downloads Generative Quest1/15/2024 ![]() ![]() ![]() This additional AI can identify non-compliant language and suggest alternatives, making the content more compliant and expediting the review process.Ĭhatbots, a common business tool, have evolved from fixed Q&A pairs to using generative AI models. The solution? Introducing another AI layer to screen for regulatory compliance. This surge in content can overload compliance departments, turning one team’s efficiency into another’s bottleneck. ![]() While these tools produce content swiftly, they may inadvertently generate non-compliant material in regulated industries. Marketing teams are increasingly using AI tools, primarily LLMs, for content creation. Now, understanding generative AI, let’s delve into how it might be less efficient in regulated sectors, focusing on three key areas: content creation, chatbots, and phone representatives.Ĭontent Creation: A Speedy Yet Tricky Path To combat this, many businesses are developing their own private LLMs, built upon public versions and customized with specific industry data. Public LLMs like ChatGPT are accessible to businesses for content creation but are limited by issues like data privacy and potential biases. There are two main types of LLMs: public and private. LLMs are so advanced that their outputs often mimic human writing. This includes large language models (LLMs) capable of producing text-based content-ranging from articles to emails. What exactly is generative AI? It’s a branch of artificial intelligence that creates new outputs in response to user inputs. Saifr, a RegTech company, recently took the time to question whether Generative AI will end up making business more or less efficient. ![]()
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