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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…
Improving instruction hierarchy in frontier LLMs
IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety…
A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
If you have struggled a bit to keep up with open-weight model releases this month, this article should catch…
Alyah ⭐️: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs
Alyah ⭐️: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs. Hugging Face -…
Continual Learning with RL for LLMs
(from [1, 2, 3, 6, 11])Continual learning, which refers to the ability of an AI model to learn from new tasks…
Categories of Inference-Time Scaling for Improved LLM Reasoning
Inference scaling has become one of the most effective ways to improve answer quality and accuracy in…
The State Of LLMs 2025: Progress, Problems, and Predictions
As 2025 comes to a close, I want to look back at some of the year’s most important developments in large…
LLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers…
AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems. Hugging Face -…
We Got Claude to Fine-Tune an Open Source LLM
We Got Claude to Fine-Tune an Open Source LLM. Hugging Face - artificial intelligence news.
Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms
Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms. Hugging Face - artificial…