From an internal ChatGPT to next-gen software It has then focused its efforts on one use case in particular - centralizing and indexing internal data so that it can be used by LLMs. The team first worked on a platform that can be used to design and deploy large language model apps. Instead, the company wants to build applications on top of LLMs developed by OpenAI, Cohere, AI21, etc. Unlike many AI startups, Dust isn’t focused on creating new large language models. They teamed up once again to create Dust. Stanislas Polu joined OpenAI, where he spent three years working on LLMs’ reasoning capabilities while Gabriel Hubert became the head of product at Alan.
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