Learn about the key parameters of the big model in one article: Token, Context Length and Output Limits

With the rapid development of artificial intelligence technology, large-scale language modeling (LLM) has become a key force driving this field forward. In order to better master and utilize LLM technology, it is particularly important to understand its core parameters. In this paper, we will take an in-depth look at three key parameters in large-scale language modeling: the Toke...

An article on the technological pedestal of the AI era: vector databases

In the field of artificial intelligence and machine learning, especially when building applications such as RAG (Retrieval Augmented Generation) systems and semantic search, efficiently processing and retrieving massive unstructured data becomes crucial. Vector databases have emerged as a core technology to address this challenge. They are not only for storing high-dimensional ...

AI macromodeling: open source or closed source?

In the vast world of Artificial Intelligence (AI), large models play a pivotal role. These large and complex models have shown amazing intelligence and potential through deep learning and massive data training. However, the development path of big models is not a single one, and open source and closed source have become two major trends...

Science: Big Model Filing

In recent years, China has successively issued relevant regulatory documents on the management of algorithmic recommendation and deep synthesis, as well as the management of generative artificial intelligence services, initially building up a regulatory mechanism for artificial intelligence technologies and services in specific fields. Specifically in the field of generative AI services, the "Generative AI Service Management...