Found 21 related articles - Page 2
A Transformer is a neural network architecture. It's important not because of the name, but because it does a good job of "parallel processing" and "c...
Model distillation is a keyword that has been frequently mentioned in the past two years, especially on the question of "why are small models getting ...
Model quantification is an unavoidable keyword in on-premises deployment and efficient inference. When many people read model deployment tutorials, th...
Visual language models, or VLMs, are one of the most talked about models recently. Many people confuse it with the "multimodal model", but in fact, th...
Tool calling is one of the most important and easily overlooked foundational capabilities in AI applications today. Many people see that the model can...
Small language models, or SLMs, are becoming a high-frequency concept in both end-side and on-premise AI scenarios. In the past, everyone paid more at...