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Tag: LLM

Multiverse Computing Cuts LLM Perplexity 1.4% On 156-Qubit System
AI

Multiverse Computing Cuts LLM Perplexity 1.4% On 156-Qubit System

vm_adminMay 11, 2026

By The Neuron Publication Date: 2026-05-11 10:34:00 Researchers at Multiverse Computing achieved a 1.4% reduction in perplexity for an 8-billion-parameter…

NVIDIA’s V100, An 8-Year Old GPU, Now Sells for 0 and Crushes Modern Consumer Cards in AI LLM Workloads
Nvidia

NVIDIA’s V100, An 8-Year Old GPU, Now Sells for $100 and Crushes Modern Consumer Cards in AI LLM Workloads

vm_adminMay 11, 2026

By Hassan Mujtaba Publication Date: 2026-05-10 22:00:00 New GPUs are optimized substantially for AI workloads, but what if old GPUs…

Mid-training is essential for LLM reasoning, IBM study shows
IBM

Mid-training is essential for LLM reasoning, IBM study shows

vm_adminApril 16, 2026

By @IBMResearch Publication Date: 2026-04-15 13:30:00 For years, the basic recipe for building a capable large language model was straightforward:…

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM | Amazon Web Services
Amazon Web Services

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM | Amazon Web Services

vm_adminApril 15, 2026

Practical benchmarks showing faster inter-token latency when deploying Qwen3 models with vLLM, Kubernetes, and AWS AI Chips. Speculative decoding on…

Alibaba invests 0 million to build novel AI model as LLM frontiers emerge
AI News

Alibaba invests $290 million to build novel AI model as LLM frontiers emerge

vm_adminApril 10, 2026

By Evelyn Cheng Publication Date: 2026-04-10 01:42:00 A mechanical hand is displayed at Robot Mall, the world’s first embodied intelligent…

Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
Google

Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts

vm_adminApril 4, 2026

By Michal Sutter Publication Date: 2026-04-03 22:26:00 Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where…

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x
Google

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

vm_adminMarch 26, 2026

By Ryan Whitwam Publication Date: 2026-03-25 17:59:00 Even if you don’t know much about the inner workings of generative AI…

IBM, Red Hat, and Google just donated a Kubernetes blueprint for LLM inference to the CNCF
IBM

IBM, Red Hat, and Google just donated a Kubernetes blueprint for LLM inference to the CNCF

vm_adminMarch 25, 2026

By Steven J. Vaughan-Nichols Publication Date: 2026-03-24 15:20:00 The marriage of Kubernetes and AI has arrived in llm‑d, a replicable…

Perplexity enters the consumer health AI arena
AI

Perplexity enters the consumer health AI arena

vm_adminMarch 24, 2026

By Danny Sullivan Publication Date: 2026-03-24 17:34:00 New tool harnesses data from multiple sources to provide users with health insights…

Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova | Amazon Web Services
Amazon Web Services

Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova | Amazon Web Services

vm_adminMarch 23, 2026

This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius. The proliferation of large language models (LLMs)…

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