# Objective > Models are the best carriers of knowledge, making them a must-have for all. The AI model technology that emerged in 2023 has fundamentally transformed the way people learn and utilize knowledge, making models efficient vehicles for various types of knowledge and skills dissemination. Beyond generative models like Chat-GPT, there is significant value in specialized small-scale models tailored to specific domains. These models carry specific expertise, requiring less computational resources and exhibiting lower probabilities of generative hallucinations compared to generative models, thereby serving specific demographics with precision. Moreover, for individuals, this represents a novel way to share and propagate knowledge, addressing broader demands. For enterprises, modelizing accumulated business and customer data facilitates effortless data mining and deeper analyses. By leveraging the conclusions and recommendations provided by models, businesses can enhance product and service offerings to external clients and optimize internal management decision-making processes, significantly improving operational efficiency. TOP AI aims to enable every individual to easily own and manage their own models, facilitating the application of knowledge. We are establishing a secure, transparent, and cost-effective model service marketplace, ensuring fair benefits for all participants within the network, thereby maximizing the flow of knowledge and the value of models. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://litepaper.topnetwork.org/content/objective.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.