dtsip / in-context-learningLinks
☆242Updated last year
Alternatives and similar repositories for in-context-learning
Users that are interested in in-context-learning are comparing it to the libraries listed below
Sorting:
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆106Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆171Updated 5 months ago
- ☆185Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆221Updated last year
- ☆84Updated 2 years ago
- ☆110Updated 9 months ago
- AI Logging for Interpretability and Explainability🔬☆133Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆107Updated 2 years ago
- Using sparse coding to find distributed representations used by neural networks.☆286Updated 2 years ago
- ☆102Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- ☆34Updated 2 years ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆84Updated 8 months ago
- ☆80Updated 3 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆77Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆95Updated last week
- Function Vectors in Large Language Models (ICLR 2024)☆186Updated 7 months ago
- Bayesian low-rank adaptation for large language models☆27Updated last year
- ☆70Updated 3 years ago
- ☆46Updated last year
- ☆130Updated last year
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆63Updated 8 months ago
- ☆73Updated 11 months ago
- ☆63Updated 3 years ago
- An Open Source Implementation of Anthropic's Paper: "Towards Monosemanticity: Decomposing Language Models with Dictionary Learning"☆49Updated last year
- ☆258Updated last year
- ☆189Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆382Updated 3 weeks ago
- ☆132Updated 2 years ago