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The Developer’s Guide to Testing LLM Apps Before Production
Member-only storyLLMArtificial IntelligenceSoftware DevelopmentSoftware TestingTechnologyThe Developer’s…
From LLM narratives to parameterized cooperation policies in multi-agent systems
IntroductionLarge language models (LLMs) can generate persuasive narratives that shift agent behavior in…
Disaggregated prefill and decode for LLM inference on SageMaker HyperPod
When prefill and decode share a GPU, long prompts stall token generation for every concurrent request.…
llm-meta-ai 0.1
Release: llm-meta-ai 0.1 Let's LLM run prompts against the new muse-spark-1.1 model. Tags: llm, meta
Native-speed vLLM transformers modeling backend
Native-speed vLLM transformers modeling backend. Hugging Face - artificial intelligence news.
Introducing Otari: The Open-Source LLM Control Plane
If you are building LLM-powered applications today, you are probably managing multiple LLM providers, a pile…
🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
This episode has a fun personal twist: There’s a counterfactual world where I was employee #1 at Genesis…
LLMs are stuck in a groupthink groove. This startup is trying to get them out.
Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a…
Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training
TL;DR Miles is RadixArk’s open source framework for large-scale LLM RL post-training. It composes SGLang…
Run a vLLM Server on HF Jobs in One Command
Back to Articles Run a vLLM Server on HF Jobs in One Command Published June 26, 2026 Update on GitHub Upvote…
TokenSpeed-Kernel: Portable APIs and High-Performance Kernels for Multi-Silicon LLM Inference
TL;DR The TokenSpeed-kernel is a standalone, open-source subsystem designed to solve backend complexity in…
OpenAI and Broadcom unveil LLM-optimized inference chip
OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance,…
MLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200
June 16, 2026 • 4 min read Lambda’s GB300 NVL72 Llama 3.1 8B MLPerf Training v6.0 submission improved…
What is an LLM control plane?
An agent stuck in a reasoning loop doesn't crash. It just quietly burns through your monthly budget until…
LLM Research Papers: The 2026 List (January to May)
LLM Research Papers: The 2026 List (January to May)As some of you know, I have the long-running habit of…
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
Back to Articles Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic Enterprise Article…
Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
After a short family break, I am excited to be back and catching up on a busy few weeks of open-weight LLM…
vLLM V0 to V1: Correctness Before Corrections in RL
Back to Articles vLLM V0 to V1: Correctness Before Corrections in RL Enterprise Article Published May 6, 2026…
Your LLM Is Only as Good as What It Retrieves
In my research on hallucination detection in multi-agent LLM systems, the most consistent findings have not…
Granite 4.1 LLMs: How They’re Built
PRISM: Demystifying Retention and Interaction in Mid-Training Paper • 2603.17074 • Published Mar 17 • 2
QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard
QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard. Hugging Face - artificial intelligence news.
My Workflow for Understanding LLM Architectures
Many people asked me over the past months to share my workflow for how I come up with the LLM architecture…
A Visual Guide to Attention Variants in Modern LLMs
I had originally planned to write about DeepSeek V4. Since it still hasn’t been released, I used the time…
Identifying Interactions at Scale for LLMs
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is…