LLMs

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Scoured 168 posts in 9.4 ms

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

 💾Caching  Content type: Code
github.com··Hacker News

Why LLMs (still) lack taste

 🤖AI Agents

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 💾Caching
zozo123.github.io··Hacker News

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 Performance  Content type: Blog
blogs.nvidia.com·

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 Performance  Content type: News

Build a Medical Report Analyzer on Dedicated Inference with Python

 🐍Python
digitalocean.com·

Get officially certified in Claude AI for just $19.99

 OpenAI
pcworld.com·

A free diagnostic for the Claude Certified Architect exam

 🤖AI Agents  Content type: Discussion  Content type: Tutorial

AI 101: From Prompt Engineering to Skill Engineering

 🤖AI Agents
turingpost.com·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 OpenAI  Content type: Code
github.com··Hacker News

DiffusionGemma: 4x Faster Text Generation

 Performance  Content type: News  Content type: Blog

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 🐍Python

Token4Token — pay-per-token inference on Gnosis + Swarm

 OpenAI

SLUUG Talk: Demystifying Large Language Models on Linux

 🤖AI Agents  Content type: Code
github.com··DEV

The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops.

 OpenAI
thenewstack.io·

DiffusionGemma: The Developer Guide- Google Developers Blog

 Performance  Content type: Blog

Running LLM Inference on Kubernetes: What It Actually Takes

 Performance  Content type: Blog
fairwinds.com·
Less-relevant results

our workplace LLM mass delusion

 🏢Engineering Blogs  Content type: Blog
blog.avas.space··Hacker News

Google Colab CLI opens runtimes to Claude Code and Codex

 🗄️Databases

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

 Performance  Content type: Code
github.com··r/LocalLLaMA

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