OS-ATLAS: A Foundation Action Model For Generalist GUI Agents

个人博客

Apache Spark - A unified analytics engine for large-scale data processing

尚硅谷Java零基础全套视频教程(宋红康2023版，java入门自学必备)相关

BigData Learning Notes

A User-Centric framework designed to evaluate LLMs’ ability to handle complex financial tasks

东北方言编程语言

DataComp for Language Models

Interpreter for a BASIC-inspired language written in Python for my tutorial series on YouTube

Summarize existing representative LLMs text datasets.

根据尚硅谷的教程学习 Maven 的使用

This repo contains the code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning"

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets

Everything about MetaCLIP: curation/training code, metadata, distribution and pre-trained models.

Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

Source code of paper 'Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors' (ACL 2023 Findings)

[ICCV'23] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Collection of resources used on QuantPy YouTube channel.

A quick guide (especially) for trending instruction finetuning datasets

Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

GEMBA — GPT Estimation Metric Based Assessment