🤖 language models - comwena · Scour

Temporal Language Models 💬LLM

calcifercomputing.com·3d·Hacker News

Large Language Models Explore by Latent Distilling 💬LLM

Paper page - Large Language Models Explore by Latent Distilling 💬LLM

huggingface.co·14h

Adaptive Thinking: Large Language Models Know When to Think in Latent Space 💬LLM

machinelearning.apple.com·2d

Show HN: WaveletLM – wavelet-based, attention-free model with O(n log n) scaling 💬LLM

github.com·4d·Hacker News

Vibe Training - Auto Train a Small Language Model for Your Use Case 💬LLM

diamantai.substack.com·2d·Substack, r/LocalLLaMA

A decoder-only foundation model for time-series forecasting 💬LLM

research.google·1d

Training a Transformer to Compose One Step Per Layer (and Proving It) 💬LLM

lesswrong.com·4d

Distilling a Tiny Model for Fast Interpretability 💬LLM

ethanfast.substack.com·2d·Substack

RNN to Transformer NMT: PyTorch Migration with 2.8x BLEU Gain 💬LLM

tildalice.io·6d

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding (5 minute read) 💬LLM

alphaxiv.org·2d

Language Generation in the Limit 💬LLM

openreview.net·6d

How to Build Your Own Language-Specific LLM [Full Handbook] 💬LLM

freecodecamp.org·6d

Introducing talkie: a 13B vintage language model from 1930 💬LLM

talkie-lm.com·3d·Lobsters, Hacker News, r/LLM, r/LocalLLaMA, r/singularity

Meta-Harness: End-to-End Optimization of Model Harnesses 💬LLM

ML Systems Textbook 💬LLM

mlsysbook.ai·4d

G-Loss: Graph-Guided Fine-Tuning of Language Models 💬LLM

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models 💬LLM

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning 💬LLM

Delineating Knowledge Boundaries for Honest Large Vision-Language Models 💬LLM

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