As a user, it can be easy to understand how GenAI can add value to various task and processes.

As a business, it is essential to be able to capture that any value in exchange.

In general, it is important to be able to

Advising Companies

Companies advising individuals and companies on the effective adoption of information are a niche but powerful market. They offer the potential to improve automation, reduce time and costs, or expand markets and allow people and companies to do more.

They range from small-boutique companies to bigger consulting companies, including Deloitte, IBM, and many others.

Here is a list of companies:

Educational

Boutique

Future: In the future, we intend to automate the empirically validated quality of these companies, using user-feedback portals and aggregates. This also offers a potential sponsorship model for the Managen Consortium.

Business Models

Data-gathering

Revenue Models for using GenAI

Monthly user

Pros: Cons: Super-users may

Link-referencing

The responses form LLM models can embed links, allowing an advertiser-based renue model.

Pros: Cons:

Manipulating Large Language Models to Increase Product Visibility

Our work opens up a new field at the intersection of large language models (LLMs) and e-commerce, which we refer to as LLM-based Search Optimization (LSO).
paper

## Good References

Professor Synapse

Embeddings-as-a service

It seems that outputting the embeddings.

While next-token generation is immediately useful and valuable, embeddings provide value in enabling vector-based memory that enable more effective generations.

https://github.com/amansrivastava17/embedding-as-service