stanford-crfm / helm-efficiency
☆9Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for helm-efficiency
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- ☆21Updated 8 months ago
- Minimum Description Length probing for neural network representations☆16Updated this week
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated this week
- Code for "Merging Text Transformers from Different Initializations"☆19Updated 3 months ago
- Adding new tasks to T0 without catastrophic forgetting☆30Updated 2 years ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆18Updated 2 months ago
- Source-to-Source Debuggable Derivatives in Pure Python☆14Updated 10 months ago
- Code repository for the public reproduction of the language modelling experiments on "MatFormer: Nested Transformer for Elastic Inference…☆18Updated last year
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- ☆12Updated 2 months ago
- Efficient Scaling laws and collaborative pretraining.☆13Updated last week
- Few-shot Learning with Auxiliary Data☆26Updated 11 months ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)☆13Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated 9 months ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆14Updated 3 years ago
- Repository for Skill Set Optimization☆12Updated 3 months ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆31Updated 6 months ago
- PyTorch building blocks for OLMo☆19Updated this week
- ☆14Updated last month
- Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces☆12Updated last year
- ☆13Updated last year
- ☆11Updated 2 years ago
- ☆47Updated 9 months ago
- ☆14Updated last year
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆32Updated last year
- Some microbenchmarks and design docs before commencement☆12Updated 3 years ago
- ☆18Updated 5 months ago