OpenManus
OpenManus is an open-source project that allows users to achieve Manus-like functionality without an invite code. It provides a simple implementation for creating and customizing AI agents.
Detailed Introduction
OpenManus is an open-source implementation of Manus, built by the MetaGPT contributors. It allows you to create and customize your own AI agents without needing an invite code. The project was developed within 3 hours by the team members @mannaandpoem, @XiangJinyu, @MoshiQAQ, and @didiforgithub. OpenManus supports various LLM APIs and provides configuration options for different models.
MoreLLM
Hugging Face Dataset - NamelessAI Helply
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
Mental Health Large Model Lingxin (SoulChat)
Lingxin (SoulChat) is a psychological health large model fine-tuned with millions of Chinese long-text instructions and multi-turn empathetic dialogue data in the field of psychological counseling.
t4d: Conversion Algorithm from ToMi to T4D Dataset
This project implements the conversion algorithm from the ToMi dataset to the T4D (Thinking is for Doing) dataset, as introduced in the paper https://arxiv.org/abs/2310.03051. It filters examples with Theory of Mind (ToM) questions and adapts the algorithm to account for second-order false beliefs.