![]() That didn’t go really well because they were too rigid. ![]() “We tried 20, 30, 40 years ago to build expert systems. “Knowledge companies tend to store knowledge in a very flat, two-dimensional way that makes it difficult to access, interact and have a dialogue with,” he told VentureBeat in January. ![]() OpenAI has talked about its work to offer customizations for enterprises, while Anthropic recently partnered with Scale AI to “ bring generative AI to enterprises.” Stability AI has said it wants to build custom models for the largest companies and governments, while Cohere’s LLMs are entirely geared towards the enterprise.Įxperts, including EY global chief technology officer Nicola Morini Bianzino, have been saying for months that the “ killer use case” of generative AI could be enterprise knowledge management. Many tech leaders are looking to the valuable opportunities of enterprise LLMs. We are actively exploring how we can apply our search and LLM expertise in these settings, and we will provide updates on the future of our work and our team in the next few weeks.” Many AI companies are shifting focus towards the enterprise Many of the techniques we have pioneered with small models, size reduction, latency reduction, and inexpensive deployment are the elements that enterprises really want, and need, today. In a blog post announcing the shutdown of the consumer search product, Ramaswamy and co-founder Vivek Raghunathan said: “Over the past year, we’ve seen the clear, pressing need to use LLMs effectively, inexpensively, safely, and responsibly. ![]()
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