Reading list for research topics in multimodal machine learning

✨✨Latest Advances on Multimodal Large Language Models

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.

Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

500 AI Machine learning Deep learning Computer vision NLP Projects with code

[Zoom & Facebook Live] Weekly AI Arxiv 시즌2

Repo for fine-tuning Casual LLMs

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

A playbook for systematically maximizing the performance of deep learning models.

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Examples and guides for using the OpenAI API

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

List of Korean pre-trained language models.

pratical tips for Natural Language Processing

Pretrained Language Models for Korean

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Paper Lists for Graph Neural Networks