GitHub

tutorial-enable-recurrent-materialization-run-batch-inference.md

This tutorial series shows how features seamlessly integrate all phases of the machine learning lifecycle: prototyping, training, and operationalization. The first tutorial showed how to create a ...
IEEE

DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference

Abstract: The block-based inference engine, powered by noncontiguous key-value (KV) cache management, has emerged as a new paradigm for large language model (LLM) inference due to its efficient memory ...
IEEE

Scaling On-Device GPU Inference for Large Generative Models

Abstract: Driven by the advancements in generative AI, large machine learning models have revolutionized domains such as image processing, audio synthesis, and speech recognition. While server-based ...
GitHub

causal_inference_modelling.py

class (aliased as ``IPTWGEEModel`` for backward compatibility).