🤖 LLM - hop1.ng.1357 · Scour

Language Generation in the Limit ✨LLMs

openreview.net·6d

RNN to Transformer NMT: PyTorch Migration with 2.8x BLEU Gain ✨LLMs

tildalice.io·6d

epscylonb/1386.ai.rocm: A lightweight transformer language model built from scratch in PyTorch, trained on a single consumer GPU with a full pipeline for data processing, pretraining, and instruction tuning. ⚙️MLOps

github.com·2d·Hacker News

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

Ziggit and Large Language Models ✨LLMs

Adaptive Thinking: Large Language Models Know When to Think in Latent Space 💭Reasoning Models

machinelearning.apple.com·2d

Cross-checking LLM outputs at scale without manual overhead ⚙️MLOps

asknestr.com·4d·r/OpenAI

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

Granite 4.1 LLMs: How They’re Built ✨LLMs

huggingface.co·1d·Hacker News

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

simonwillison.net·1d·Hacker News

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

blog.dwornikowski.com·6d·Hacker News

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens ✨LLMs

Large Language Models are Not Table Saws ✨LLMs

agentultra.com·3d·Hacker News

Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds 🎯Alignment Research

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models ✨LLMs

Speculative Decoding vs MoE: 3.2x Cost Gap on Llama 3 💉Prompt Injection

tildalice.io·3d

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

github.com·3d·Hacker News

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning ⚙️MLOps

Statistical Structure and the Failure of Pointing: A System-Class Law for Compression-Based Generative Systems ✨LLMs

philsci-archive.pitt.edu·4d

A Systematic Approach for Large Language Models Debugging ✨LLMs

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