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Cerebras Publications

12 articles total

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Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

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  •  Unlocking Lossless Speedups in LLMs via Discrete Diffusion
  •  Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
  •  Jais 2: A Family of Arabic-Centric Open Large Language Models
  •  DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
  •  DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
  •  CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts
  •  Crystal: Illuminating LLM Abilities on Language and Code
  •  REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression
  •  Scaling with Collapse: Efficient and Predictable Training of LLM Families
  •  Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
  •  Wafer-Scale Integration for AI – The Holy Grail?
  •  DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding