Chat DLM is different from autoregression. It is a language model based on Diffusion (diffusion), with a MoE architecture that takes into account both speed and quality.
ChatDLM deeply integrates the Block Diffusion and Mixte-of-Experts (MoE) architectures, achieving the world's fastest inference speed.
It simultaneously supports an ultra-long context of 131,072 tokens
Its working principle is as follows: The input is divided into many small pieces, processed simultaneously by different "expert" modules, and then intelligently integrated, which is both fast and accurate.
The response speed is extremely fast, which can make the chat more natural and smooth.
It enables users to "specify" details such as the style, length, and tone of the output.
It is possible to modify only a certain part of a paragraph without regenerating the entire content.
It can handle multiple requirements simultaneously, such as asking it to generate an answer with multiple requirements.
It has strong translation skills and can accurately convert between multiple languages.
It requires less computing power resources and has a lower usage cost.
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