LLM

Large Language Models, GPT, Transformers, Natural Language Processing

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How LLMs work | Practical Leaders

 🔄Spaced Repetition

The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has

 🧠Cognitive Science Startups
xda-developers.com·

Foundation Models: Apple Isn’t Building an AI Model. It’s Building an AI Platform.

 🧠Cognitive Science Startups  Content type: Blog
medium.com·

How J.A.R.V.I.S. Became the Smartest Mind on Earth — What is an LLM?

 🧠Cognitive Science Startups  Content type: Blog
medium.com·

I built a tool to figure out what an AI agent actually costs per run, and the numbers surprised me

 🌱Bootstrapping

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

 🎮Gamification  Content type: Blog
alper.bearblog.dev·

The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models

 🧠Cognitive Science Startups  Content type: Academic
arxiv.org·

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

 🔄Spaced Repetition  Content type: Code

What Are Tokens in LLMs?

 🔄Spaced Repetition  Content type: Blog

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 📈SaaS Metrics  Content type: Blog
adambien.blog·

Using local LLMs for agentic coding

 🧠Cognitive Science Startups  Content type: Blog
blog.alexewerlof.com·

The Anatomy of OpenClaw

 🧠Cognitive Science Startups  Content type: News

know the mother tongue of your LLMs

 🔄Spaced Repetition

These open-source tools do what Claude charges for, and some do it better

 🌱Bootstrapping
xda-developers.com·

Melanie Mitchell: What We Get Wrong About AI

 🧠Cognitive Science Startups

StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs

 🔄Spaced Repetition  Content type: Blog

Price Drop: Save 90% on ChatPlayground AI lifetime plan, and compare multiple AI models

 🚀Go-to-Market
neowin.net·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🧠Cognitive Science Startups
aermia.com··Hacker News

New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"

 🧠Cognitive Science Startups  Content type: Discussion

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

 🕸️Knowledge Graphs  Content type: Academic
arxiv.org·

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