AIApril 13, 2025A Coding Implementation on Introduction to Weight Quantization: Key Aspect in Enhancing Efficiency in Deep Learning and LLMs
AIApril 2, 2025Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors
AIMarch 29, 2025NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized
AIMarch 14, 2025Optimizing Test-Time Compute for LLMs: A Meta-Reinforcement Learning Approach with Cumulative Regret Minimization
AIMarch 11, 2025STORM (Spatiotemporal TOken Reduction for Multimodal LLMs): A Novel AI Architecture Incorporating a Dedicated Temporal Encoder between the Image Encoder and the LLM
