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EleutherAI
- Berkeley CA
- @norabelrose
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The nnsight package enables interpreting and manipulating the internals of deep learned models.
An unofficial Google Nearby Share app for macOS
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
(Python, R, C) Fast approximations for the CDF of multivariate normal distributions
Reference implementation for DPO (Direct Preference Optimization)
Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
PyTorch-based library for various kinds of representational-similarity analysis
This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent"
Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
A Python package for intrinsic dimension estimation
code for "Erasure of Unaligned Attributes from Neural Representations"
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
Erasing concepts from neural representations with provable guarantees
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Simple, Elegant, Typed Argument Parsing with argparse
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Keeping language models honest by directly eliciting knowledge encoded in their activations.
Newton and Quasi-Newton optimization with PyTorch