Raiqon uses a domain-specific pre-trained AI-model that produces better results than a generic LLM

A generic LLM can do little more for your product development than what an intern can do. To be truly useful, AI assistance is based on the actual company’s product description.

To understand this, we need to understand how Large Language Models (LLMs) work in the first place. A LLM is a type of AI that is trained on extensive text data to understand, generate, and manipulate human language by predicting and producing coherent text based on input prompts.

A LLM is a type of AI that is trained on extensive text data

The key is “extensive text data”, which is usually content from the Internet. As such, it might have a generic understanding on what you’re developing (e.g. autonomous driving), but not specific understanding on what makes your solution unique.

Raiqon uses domain-specific pre-trained AI-models that produce better results than a generic LLM faster at much lower cost. These models are always kept up to date and enhanced with your product development data (and can be kept inside your network for maximum security, if you prefer this).

A generic LLM, like ChatGPT, might therefore assist you like an intern. Raiqon, on the other hand, can assist you like a senior engineer who has been on your staff for decades and knows where to find relevant information in your entire organization. What a difference!