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Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Code for Paper Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL2022 Main Conference, Long Paper.
Source code for Twitter's Recommendation Algorithm
The release of the Twitter algorithm, annotated for recsys
Code for ICLR 2023 Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Awesome-LLM: a curated list of Large Language Model
A series of large language models developed by Baichuan Intelligent Technology
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!
The official GitHub page for the survey paper "A Survey of Large Language Models".
A collection of research and application papers of (uncertainty) calibration techniques.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
Code and documentation to train Stanford's Alpaca models, and generate the data.
Let ChatGPT teach your own chatbot in hours with a single GPU!
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
This repository collects debiasing methods for recommendation
An open-source framework for self-supervised recommender systems.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…
A Curated List of Must-read Papers on Recommender System.