LLMs

🧠 LLMs

large language models, foundation models, pretraining, transformers

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Scoured 472 posts in 5.5 ms

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🏗️AI Infra  Content type: Code
github.com··Hacker News, r/LLM

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 💻GPU Computing  Content type: Blog
adambien.blog·

Acoda: Adversarial Code Obfuscation for Defending against LLM-based Analysis

 🔧MLOps  Content type: Academic
arxiv.org·

Intelligent inference scheduling with llm-d on Red Hat AI

 ⚡Distributed Training
developers.redhat.com·

Google fills out the middle with the Gemma 4 12B

 🏗️AI Infra
jonpeddie.com·

How LLMs work | Practical Leaders

 🔧MLOps
practical-leaders.com··Hacker News

Making a Vintage LLM from Scratch

 🔧MLOps
crlf.link··Hacker News

Why LLMs (still) lack taste

 🔧MLOps
beyondtheprior.com··Hacker News

Google unveils DiffusionGemma, delivering up to 4x faster inference on dedicated GPUs

 💻GPU Computing
alternativeto.net·

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🎮CUDA  Content type: Blog
blogs.nvidia.com·

google/gemma-4-12B-it-qat-q4_0-gguf

 💻GPU Computing
huggingface.co·

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

 🏗️AI Infra  Content type: News  Content type: Blog
developer.nvidia.com·

Google’s DiffusionGemma is 4x faster than its other Gemma models

 💻GPU Computing
thenewstack.io·

WWDC 2026: Foundation Models (& Anarlog)

 🏗️AI Infra
skushagra.com·

local llm on laptop 780M GPU using llama + gemma 4 qat

 💻GPU Computing  Content type: Blog
alper.bearblog.dev·

CommBench: Can LLMs Write Correct and Efficient GPU Communication Code?

 🏗️AI Infra
uccl-project.github.io··Hacker News

Google Gemma 4 12B brings native multimodal AI to standard laptops

 🏗️AI Infra
4sysops.com·

Researchers say they trained a foundation model from scratch for about $1,500

 🔧MLOps
venturebeat.com··Hacker News

Unsloth Gemma 4 QAT

 🏗️AI Infra
unsloth.ai·

MTP Isn't Always a Win: 1.95x on My 3090, but Speculative Decoding Is Hardware-Dependent

 💻GPU Computing  Content type: Blog
bric.pe.kr··DEV

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