🤖 LLM - hop1.ng.1357 · Scour

Large Language Models Explore by Latent Distilling ✨LLMs

LLMs Explained: How Large Language Models Work (and Where They Commonly Fail) ✨LLMs

LLMs are the worlds most powerful autocomplete ✨LLMs

alfredvc.no·14h·Hacker News

Why Model Collapse in LLMs is Inevitable With Self-Learning ✨LLMs

hackaday.com·13h·Hacker News

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning ✨LLMs

machinelearning.apple.com·1d·Hacker News

Show HN: How LLMs Work – Interactive visual guide based on Karpathy's lecture ✨LLMs

ynarwal.github.io·6d·Hacker News

LLM 0.32a0 is a major backwards-compatible refactor 🪄Prompt Engineering

simonwillison.net·20h·Hacker News

Recursive Language Models, clearly explained (3 minute read) ✨LLMs

x.com·2d·X

cauchy221/Alignment-Whack-a-Mole-Code: The official code repo of Alignment Whack-a-Mole: Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models ✨LLMs

github.com·12h·Hacker News

Granite 4.1 LLMs: How They’re Built ✨LLMs

huggingface.co·1d·Hacker News

Using a Local LLM as a Zero-Shot Classifier ✨LLMs

towardsdatascience.com·6d

Information Extraction from Electricity Invoices with General-Purpose Large Language Models ✨LLMs

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding (5 minute read) 🖼️Multimodal AI

alphaxiv.org·1d

A Primer on LLM Post-Training ✨LLMs

pytorch.org·2d·Hacker News

Language Anchoring: A Systematic Method for LLM Multilingual Adaptation ✨LLMs

github.com·3d·Hacker News

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models ✨LLMs

From $200 to $30: Five Layers of LLM Cost Optimization ✨LLMs

blog.dwornikowski.com·6d·Hacker News

itayinbarr/little-coder: A coding agent optimized to smaller LLMs ⚙️MLOps

github.com·2d·Hacker News

Large Language Models are Not Table Saws ✨LLMs

agentultra.com·3d·Hacker News

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients ✨LLMs

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