MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
VentureBeat

MLPerf 3.1 adds large language model benchmarks for inference

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MLCommons is growing its suite of MLPerf AI benchmarks with the addition ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
The Chosun Ilbo on MSN

NVIDIA invests $150 million in AI inference startup Baseten

On the 20th (local time), the Wall Street Journal (WSJ) reported that NVIDIA invested $150 million (approximately 220.7 ...

Zero‑Trust AI: The New Security Model For Enterprise LLMs

LLMs change the security model by blurring boundaries and introducing new risks. Here's why zero-trust AI is emerging as the ...
Business Wire

Predibase Launches Next-Gen Inference Stack for Faster, Cost-Effective Small Language Model Serving

Predibase's Inference Engine Harnesses LoRAX, Turbo LoRA, and Autoscaling GPUs to 3-4x Throughput and Cut Costs by Over 50% While Ensuring Reliability for High Volume Enterprise Workloads. SAN ...
InfoQ

UC Berkeley's Sky Computing Lab Introduces Model to Reduce AI Language Model Inference Costs

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Semiconductor Engineering

Efficient LLM Inference With Limited Memory (Apple)

A technical paper titled “LLM in a flash: Efficient Large Language Model Inference with Limited Memory” was published by researchers at Apple. “Large language models (LLMs) are central to modern ...
EurekAlert!

Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...
Business Wire

ASC24 Finals Set for April in Shanghai: Focus on Cutting-Edge Large Language Model Inference and Seepage Simulation!

BEIJING--(BUSINESS WIRE)--On January 4th, the inaugural ceremony for the 2024 ASC Student Supercomputer Challenge (ASC24) unfolded in Beijing. With a global interest, ASC24 has garnered the ...
Forbes

Small Language Models – More Effective And Efficient For Enterprise AI

Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Frontier models in the billions and trillions of parameters ...