LLMs

large language models, foundation models, transformer, GPT

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

 ⚙️MLOps  Content type: Academic
arxiv.org·

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

 🤖AI Agents
huggingface.co·

Orchestrate your LLM pipeline. Locally

 ⚙️MLOps
llmforge.app··Hacker News

defai-digital/ax-engine: Apple Silicon LLM runtime supporting Gemma 4 and Qwen 3.6 MTP modes

 🤖AI Agents  Content type: Code
github.com··Hacker News

Show HN: In-browser real LLM token counter and cost estimation

 ✍️Prompt Engineering
holaclaw.ai··Hacker News

GPT fdisk Tutorial

 ✍️Prompt Engineering
rodsbooks.com·

Failing to Ragebait the New Gemma

 ✍️Prompt Engineering
lesswrong.com·

Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM

 ✍️Prompt Engineering  Content type: News
digg.com··Hacker News

Context windows in AI: why every token is a budget decision

 ✍️Prompt Engineering  Content type: Blog
redis.io·

Why Your LLM Gets Dumber With More Context

 ✍️Prompt Engineering
siliconopera.com·

Two old GPUs I salvaged are doing more AI work than a brand new $2000 card, and I won't be upgrading anytime soon

 ⚙️MLOps
xda-developers.com·

Google fills out the middle with the Gemma 4 12B

 ⚙️MLOps
jonpeddie.com·

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 ⚙️MLOps
androidauthority.com·

LLM Cheat Sheet

 ✍️Prompt Engineering  Content type: Blog
drkpxl.bearblog.dev·

Prompt Caching Explained: The AI Concept That Can Save Millions of Tokens

 ✍️Prompt Engineering  Content type: Blog
sweta-nit.medium.com·

Google's new open-weights model brings image-generation tricks to AI text generation

 🖼️Multimodal AI  Content type: News
theregister.com·

My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs

 🤖AI Agents  Content type: News  Content type: Blog

high-performance classification API (beats GPT-5.4-mini)

 ✍️Prompt Engineering  Content type: Discussion
classer.ai··Hacker News

Unsloth Gemma 4 QAT

 ⚙️MLOps
unsloth.ai·

Why LLMs (still) lack taste

 ✍️Prompt Engineering

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