GitHub

wllama - Wasm binding for llama.cpp

It is recommended to split the model into chunks of maximum 512MB. This will result in slightly faster download speed (because multiple splits can be downloaded in parallel), and also prevent some out ...
InfoQ

Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
eWeek

Meta Compute Initiative Launches for AI Infrastructure Boost

Mark Zuckerberg says Meta plans to construct "tens of gigawatts this decade, and hundreds of gigawatts or more over time." ...
IEEE

A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times

Abstract: Automated guided vehicles are widely utilized in the real production environment for tasks such as job transfer and inter-factory collaboration, yet they remain relatively underexplored in ...
IEEE

Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network

Abstract: Performing dexterous tasks with a multi fingered robotic hand remains challenging. Tactile sensors provide touch states and object features for multifingered tasks, yet the variety in shapes ...
GitHub

LoRAX: Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.