LLMs

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"AI" Is Eating Platform Monopolist Free Cash Flow, Not the World: CHART OF THE DAY

 🤖AI  Content type: News  Content type: Blog

AI Model for Ancient Papyri.

 🤖AI
languagehat.com·

2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP

 ⚙️MLOps  Content type: Blog
dnhkng.github.io·

How to Run Gemma 4 12B Locally - The Best AI For Consumer Laptops

 🤖AI  Content type: Video
youtube.com·

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 ⚙️MLOps  Content type: Blog
adambien.blog·

I built an open-source persistent memory layer for AI coding agents

 ⚙️MLOps  Content type: Code
github.com··r/GithubCopilot

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

 Crypto

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 ⚙️ML Engineering

Here's a llama.cpp CLI Command builder.

 ✍️Prompt Engineering

Apples to Apples: MLX vs. Llama.cpp for Gemma 4 12B on an M1 16GB

 ⚙️MLOps  Content type: Blog
ziraph.com··Hacker News

Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on One 4090, and 4-Bit Shouldn’t Be This Good

 ⚙️ML Engineering  Content type: Blog
towardsai.net·

Exclusive: Internal docs reveal Mistral valued M&A target Emmi at up to €330m

 Crypto
sifted.eu
·

LLM Inference Engineering Room — Part 3: The Orchestration Layer

 ⚙️ML Engineering  Content type: Blog

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

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

 🤖AI

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

 🤖AI  Content type: News

How to Set Up Codebase Indexing in Kilo Code

 ⚙️MLOps  Content type: News  Content type: Blog
blog.kilo.ai·

know the mother tongue of your LLMs

 ✍️Prompt Engineering

Lucha Libro: Professional Wrestling in Libraries

 🔐Security
neatorama.com·

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

 ⚙️MLOps  Content type: News  Content type: Blog

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