Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
Abstract: In training image generators, autoencoders (AEs) are used to compress data into latent variables. However, when attempting to reconstruct video images, learning more complex distributions is ...
Starting from v4.11.0, AstrBot introduced an automatic context compression feature. AstrBot automatically compresses the context when the conversation context reaches 82% of the maximum context window ...
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
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