The following examples describe hypothetical applications of Cosolvent to open up and serve a variety of thin markets. The starting point for the list was generated partially with the help of ChatGPT, but has had a lot of subsequent editing. The common thread is that some (probably many) thin markets are only thin because they lack the basic information exchange necessary to make specific exchanges possible. It is our hypothesis that a RAG+LLM system could go a long way to help the participants find each other and discover how to converse.
Agricultural Research Trial Exchange (ARTE)
Upload & query unstructured documents with LLM+RAG; ClientSynth provides synthetic demonstration of how these exchanges can work.
Upload & query unstructured documents with LLM+RAG; ClientSynth illustrates how teachers can bring outside experts into their classes on a case by case basis.
Upload & query unstructured documents with LLM+RAG; ClientSynth mimics a diverse collection of hosts and tourists to explore the types of deals that might be possible.
Upload & query unstructured documents with LLM+RAG; ClientSynth can simulate the wide variety of needs and services to help explore how to safely match them.
Upload & query unstructured documents with LLM+RAG; ClientSynth fills the site with diverse users and shows how inventors can share and partner in their commercialization.
Upload & query unstructured documents with LLM+RAG; ClientSynth simulates an ecosystem of remote or rural clients with urban attorneys who share their commercial law interests.
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