-
University of Utah
- Salt Lake City
- https://poaboagye.github.io/
- @kp_aboagye
Stars
[NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
🔥Highlighting the top ML papers every week.
A collection of awesome mathematics and computer science courses
An AI to compete live in Ghana’s National Science and Maths Quiz competition
🏅 Collection of Kaggle Solutions and Ideas 🏅
A comprehensive reference for all topics related to Natural Language Processing
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an tailored way.
Machine learning from scratch
Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
PyTorch implementation of low-rank factorization (LRF) methods for data compression
Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
Code to the paper "Language Imbalance Can Boost Cross-lingual Generalisation"
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings
This is the official repository for Inheritune.
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
Awesome LLM compression research papers and tools.
ReFT: Representation Finetuning for Language Models
Torch and tinygrad implementation of Karpathy's nanogpt based off of shakespeare's text
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
Backtracing: Retrieving the Cause of the Query, EACL 2024 Long Paper, Findings.
Efficient vector database for hundred millions of embeddings.
DP-NMT: Scalable Differentially Private Machine Translation