🤖 LLM - hop1.ng.1357 · Scour

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

Show HN: I built a free LLMs.txt generator ✨LLMs

veerhost.com·5d·Hacker News

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

Fixing What LLMs Get Wrong (22 minute read) 🪄Prompt Engineering

thebigdataguy.substack.com·3d·Substack

Introducing talkie: a 13B vintage language model from 1930 ✨Gemini

simonwillison.net·2d

umbecanessa/neural-ledger-system: An inference architecture that makes LLMs stateful. Patent pending (US 64/050,345). 🪄Prompt Engineering

github.com·1d·Hacker News

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

allocz/slm: zero-dependency TUI LLM chat ✅Formal Verification

github.com·1d·Hacker News, r/golang

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

MoRFI: Monotonic Sparse Autoencoder Feature Identification ✨LLMs

Factorized Latent Reasoning for LLM-based Recommendation 🎲Recommendation Systems

llm 0.31 🕳LLM Vulnerabilities

simonwillison.net·5d

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models ✨LLMs

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities ⚡Edge AI

LLM-Guided Issue Generation from Uncovered Code Segments 🪝eBPF

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation ✨LLMs

LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models ✨LLMs

A Systematic Approach for Large Language Models Debugging ✨LLMs

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control ✨LLMs

Doing More With Less: Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling ✨LLMs

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