Posts by Mehdi Rezagholizadeh
AMD-HybridLM: Towards Extremely Efficient Hybrid Language Models
- 17 September 2025
The rapid rise of deep learning applications has intensified the demand for language models that offer a balance between accuracy and efficiency—especially in settings constrained by memory, compute, or real-time requirements. While Transformer-based models have revolutionized natural language processing, their quadratic attention complexity and large key–value (KV) cache requirements pose serious challenges for deployment, particularly on edge devices or in latency-sensitive environments.