IEEE

Revisiting Knowledge-Based Inference of Python Runtime Environments: A Realistic and Adaptive Approach

Abstract: The reuse and integration of existing code is a common practice for efficient software development. Constantly updated Python interpreters and third-party packages introduce many challenges ...
marktechpost

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We begin by setting up ...
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 ...
GitHub

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal

CLEAR is a mask-free video subtitle removal framework that achieves end-to-end inference through context-aware adaptive learning. By decoupling prior extraction from generative refinement in a ...