AIApril 29, 2025ViSMaP: Unsupervised Summarization of Hour-Long Videos Using Meta-Prompting and Short-Form Datasets
AIApril 22, 2025LLMs Can Now Retain High Accuracy at 2-Bit Precision: Researchers from UNC Chapel Hill Introduce TACQ, a Task-Aware Quantization Approach that Preserves Critical Weight Circuits for Compression Without Performance Loss
AIApril 13, 2025A Coding Implementation on Introduction to Weight Quantization: Key Aspect in Enhancing Efficiency in Deep Learning and LLMs
AIMarch 27, 2025This AI Paper Introduces the Kolmogorov-Test: A Compression-as-Intelligence Benchmark for Evaluating Code-Generating Language Models
AISeptember 11, 2024Unlocking the Future of Document Understanding: Discover DocOwl2’s Revolutionary High-Resolution Compression Technology!
