Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with applications trickling down to the enterprise from the ‘Googles’ and ‘OpenAIs’ of the world. We are currently seeing a barrage of LLM and multimodal AI model announcements, as well as commercial applications created around them.
LLMs power applications that range from code creation to customer feedback. At the same time, they are driving multimodal AI and fueling the debate around the limits and use of AI. In 2019, GPT-2 was deemed “too dangerous to release” by OpenAI. Today, models far more powerful than GPT-2 are being released. Either way, the evaluation feels arbitrary. However, yesterday, a first step toward industry-wide best practices for AI language model deployment may have been taken.
