
A Hands on Guide to Compact Vision Language Models using SmolDocling
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient
StreamSpeech pioneers real-time speech-to-speech translation, leveraging multi-task learning to enhance speed and accuracy significantly.