Model quantization: Why 4-bit and 8-bit always come up in on-premises discussions
Model quantification is an unavoidable keyword in on-premises deployment and efficient inference. When many people read model deployment tutorials, th...
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...
Computer-Using Agent, also commonly referred to as Computer-Using Agent, is a form that has attracted a lot of attention in recent agent capability up...
Ambient programming is one of the buzzwords in AI that has rapidly emerged since 2025. It is not talking about some new programming language, but a ne...
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...
The concept of world model has recently become hot again, not only in academic circles, but also in people who do agents, autonomous driving, robots a...
Inference models are one of the most frequently mentioned keywords in the AI space in 2025-2026. Compared with the earlier large language models that ...