ethancaballero / broken_neural_scaling_laws
Code Release for "Broken Neural Scaling Laws" (BNSL) paper
☆57Updated last year
Related projects ⓘ
Alternatives and complementary repositories for broken_neural_scaling_laws
- ☆46Updated last month
- ☆44Updated last year
- ☆50Updated 6 months ago
- Universal Neurons in GPT2 Language Models☆27Updated 5 months ago
- ☆26Updated last year
- Mechanistic Interpretability for Transformer Models☆49Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- NanoGPT-like codebase for LLM training☆75Updated this week
- ☆53Updated 3 weeks ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆34Updated 8 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆95Updated last year
- Automatically take good care of your preemptible TPUs☆32Updated last year
- ☆77Updated 3 months ago
- Google Research☆46Updated 2 years ago
- ☆69Updated 8 months ago
- This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…☆19Updated 8 months ago
- A MAD laboratory to improve AI architecture designs 🧪☆95Updated 6 months ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆52Updated last month
- Sparse and discrete interpretability tool for neural networks☆55Updated 9 months ago
- Blog post☆16Updated 9 months ago
- ☆54Updated 2 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 2 years ago
- ☆50Updated last year
- ☆48Updated 9 months ago
- ☆31Updated 10 months ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆66Updated last year
- My explorations into editing the knowledge and memories of an attention network☆34Updated last year
- Few-shot Learning with Auxiliary Data☆26Updated 11 months ago
- Code for minimum-entropy coupling.☆30Updated 4 months ago