Researchers introduced Sarathi-Serve, an LLM inference scheduler that uses chunked-prefills and stall-free scheduling to improve throughput-latency tradeoffs, achieving 2.6x higher serving capacity fo…
Researchers introduced Dripper, a lightweight framework for main HTML content extraction that uses small language models for constrained sequence labeling, achieving a throughput of 3.08 pages per sec…
Researchers from the University of Toronto, the Vector Institute, the University of Cambridge, and ServiceNow have built a proof-of-concept computer virus that uses open-weight large language models t…
A reproducible 100-step LoRA fine-tuning run for the OpenVLA 7-billion-parameter robotics model on a Colab A100 GPU has been documented, providing a verifiable integration test that confirms the train…
A developer built a Double-Tower Gated Transformer Network (GTN) to generate profitable trading signals from high-frequency EUR/USD forex data. The system uses a custom cost matrix and weighted cross-…