ml-jku / SDLGLinks
SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs
☆25Updated 11 months ago
Alternatives and similar repositories for SDLG
Users that are interested in SDLG are comparing it to the libraries listed below
Sorting:
- ☆80Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- ☆68Updated 9 months ago
- Minimum Bayes Risk Decoding for Hugging Face Transformers☆58Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆73Updated 7 months ago
- ☆123Updated 4 months ago
- ☆52Updated last year
- Simple and scalable tools for data-driven pretraining data selection.☆24Updated 3 months ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- PyTorch library for Active Fine-Tuning☆79Updated 3 months ago
- Official implementation of "BERTs are Generative In-Context Learners"☆28Updated 2 months ago
- Official implementation of "GPT or BERT: why not both?"☆53Updated 2 months ago
- An annotated implementation of the Hyena Hierarchy paper☆33Updated 2 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆116Updated 5 months ago
- ☆53Updated 8 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆88Updated 11 months ago
- nanoGPT-like codebase for LLM training☆94Updated 3 weeks ago
- Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.☆77Updated this week
- ☆53Updated last year
- ☆37Updated last year
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆41Updated 3 weeks ago
- A Toolkit for Distributional Control of Generative Models☆73Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 8 months ago
- Simple Scalable Discrete Diffusion for text in PyTorch☆33Updated 8 months ago
- LTG-Bert☆33Updated last year
- Understand and test language model architectures on synthetic tasks.☆197Updated 3 months ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆80Updated 3 years ago
- Efficient Transformers with Dynamic Token Pooling☆61Updated 2 years ago
- Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22☆66Updated 2 years ago