Knowledge Management Platforms
The National Library of Iran
and the Islamic Republic of Iran Officials are invited to apply for
participation in an innovative project to develop a custom Large Knowledge
Model (LKM) tailored specifically for Iran. This groundbreaking initiative aims
to harness the extensive resources of the Best Books on Iran and the Library of
Congress to create a powerful tool for addressing the country’s unique
challenges. We seek the expertise and insights of senior library and government
officials who are at the forefront of identifying, managing, and solving Iran’s
unique issues. By collaborating in the development of this LKM, you will play a
pivotal role in shaping a resource that can provide unparalleled support for
policy making, research, and public service.
A Large Knowledge Model (LKM) offers distinct advantages over a Large Language Model (LLM), making it a superior choice for your country’s knowledge management. Your custom LKM will provide:
Large Language Models (LLM) for your country’s national library and government are clearly not the best choice for managing your country’s valuable knowledge.
Send for our report on Large Language Model for your nation’s library and government to show how the Large Language Model data can be used to build a large knowledge model. Structured data and metadata for Large Language Models are a useful first step for organizing the building of a Large Knowledge Model for your country.
Each of the countries in the Middle East has been
invited to apply to participate in pioneering a new era of knowledge management
by utilizing American Data Processing’s Large Knowledge Platform-Enterprise
Version. Your participation in developing the Large Knowledge Model will help
create a nationwide resource that will empower each country to tackle their
most pressing issues with confidence and clarity.
NOTICE: The National Library
of Iran and the Islamic Republic of Iran , including any of its officials, have
not been contacted or communicated with American Data Processing, Inc.
regarding participation in this initiative. This webpage and the invitation to
participate are solely the initiatives of American Data Processing, Inc. and do
not imply any prior involvement or endorsement by the National Library of Iran
and the Islamic Republic of Iran. The information provided here is intended to
invite collaboration and is not an indication of any existing partnership or
commitment by the country’s entities.