Inspirations

High Entry Barriers to Creating Custom LLMs

Many of us have experienced going back and forth with an LLM to get the answer we want. Ideally, we’d fine-tune the LLM to respond precisely to our needs, but this requires significant prior knowledge, like coding and AI expertise. Near N Dear aims to make this process easy and accessible, bringing customization close to us.

The Ownership Dilemma in Custom LLMs

Let’s take a look at apps that let us create Custom GPTs (like a GPT Store). Here, we can build custom LLMs relatively easily. But the problem is, even after customizing it, we have no control over it. We can’t see how often our GPT is used, how much revenue it generates, or gain any benefit when others use our creation. All the profits go to OpenAI. Near N Dear aims to return full ownership of Custom LLMs to creators, allowing them to earn revenue and regain rightful control over their creations.

Uncertain Sources Yield Unreliable Responses

The biggest drawback of LLMs is hallucination—they sometimes provide answers that aren’t based on facts, requiring users to double-check responses for accuracy. Near N Dear aims to make LLM responses trustworthy by clearly indicating sources, allowing users to have confidence in the answers provided.