💬 LLMs - chris1 · Scour

On-Device LLM Challenges in Android Development with LiteRT-LM 🔍RAG

woliveiras.com·2d·r/LLM

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models 📐ML Theory

I build my LLM a Brain 📐ML Theory

news.ycombinator.com·3d·Hacker News

Show HN: "Be horse." – a diffusion language model on an M2 Air 🤖Machine Learning

boesch.dev·2d·Hacker News

Training a Transformer to Compose One Step Per Layer (and Proving It) 🤖Machine Learning

lesswrong.com·4d

Show HN: I built a free LLMs.txt generator 🔍RAG

veerhost.com·5d·Hacker News

Adaptive Thinking: Large Language Models Know When to Think in Latent Space 🤖Machine Learning

machinelearning.apple.com·2d

Granite 4.1 LLMs: How They’re Built 🤖Machine Learning

huggingface.co·1d·Hacker News

Beyond the next token: Why diffusion LLMs are changing the game 🤖AI Agents

developers.redhat.com·3d

This survey presents a comprehensive and structured synthesis of memory in LLMs and MLLMs, organizing the literature into a cohesive taxonomy comprising implicit, explicit, and agentic memory paradigms. 🤖AI Agents

[notes] Crowd-Sourcing: Metaphors for LLMs and AI 🤖AI Agents

v5.chriskrycho.com·3d

Large Language Models are Not Table Saws 🤖AI Agents

agentultra.com·3d·Hacker News

LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models 📐ML Theory

Statistical Structure and the Failure of Pointing: A System-Class Law for Compression-Based Generative Systems 📡Information Theory

philsci-archive.pitt.edu·4d

Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds 📐ML Theory

Language Generation in the Limit 🔍RAG

openreview.net·6d

Fixing What LLMs Get Wrong (22 minute read) 🤖AI Agents

thebigdataguy.substack.com·4d·Substack

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

github.com·2d·Hacker News

Cross-checking LLM outputs at scale without manual overhead 🤖AI Agents

asknestr.com·4d·r/OpenAI

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients 🔍RAG

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