🗣️ LLMs - inarcissuss · Scour

Understanding Large Language Models: The Engines Behind Today's AI Revolution

dev.to·11h·

Discuss: DEV

CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference

arxiv.org·20h

Deterministic Programming with LLMs

mcherm.com·3h·

Discuss: Lobsters, Hacker News

Reinforcement Learning for LLMs

mesuvash.github.io·3h·

Discuss: Hacker News

Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation

arxiv.org·20h

Closing the Gap Between Text and Speech Understanding in LLMs

machinelearning.apple.com·1d

Speculative Decoding in LLM Inference

ternarysearch.blogspot.com·2d·

Discuss: ternarysearch.blogspot.com

Part 1: Tokenization, Building an LLM From Scratch in Rust

tag1.com·4h

Large language models show Dunning-Kruger-like effects in multilingual fact-checking

nature.com·15h

Language Models will be Scaffolds

alexzhang13.github.io·11h·

Discuss: Hacker News

Introduction to Small Language Models: The Complete Guide for 2026

machinelearningmastery.com·1d

Prism: When an LLM predicts the next token, which training does it relying on?

guidelabs.ai·1d·

Discuss: Hacker News

https://opentyphoon.ai/research

opentyphoon.ai·3h

Show HN: 100% LLM accuracy–no fine-tuning, JSON only

github.com·14h·

Discuss: Hacker News

The 4 Long-Context Architectures: How AI Remembers 1 Million Tokens Without Exploding

pub.towardsai.net

·7h

Tool use and notation as shaping LLM generalization

the.scapegoat.dev·1h·

Discuss: Hacker News

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

infoworld.com·1d

Retrieval Augmented Generation

seanpedersen.github.io·1d

Understanding LSTMs – Part 3: Breaking Down the First Step

dev.to·1d·

Discuss: DEV

How Large Language Models Learn

blog.bytebytego.com·2d

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