2023年Open Assistant！ChatGPT的开源替代选择！

Table of Contents:

1. Introduction
2. Evolution of Chatbot Systems
3. Variants of CharGPT
4. Open Assistant Project
5. Contributing to the Open Assistant Project
6. Exploring the Open Assistant Website
7. Open Assistant GitHub Page
   • What is Open Assistant?
   • Open Assistant Vision and Roadmap
   • Data Stocks
   • Guidelines for Contribution
8. Dashboard and Task Grabbing
9. Chatting with the Open Assistant Model
   • Comparing Open Assistant to CharGPT
10. Conclusion

Evolution of Chatbot Systems

Chatbot systems have undergone a rapid advancement with the emergence of large language models. One such model is the OpenAI ChatGPT, which has demonstrated impressive performance. However, the training and architecture details of CharGPT remain unclear, leading to the evolution of various CharGPT variants. Notable variants include Vikuna, an open-source chatbot, GBT4 with 90% CharGPT quality, Alpaca Model, GPT4 for All, and several others. These models have a common characteristic of creating training data from CharGPT itself. However, a new open source project, Open Assistant, aims to replicate CharGPT without using training data created from CharGPT. In this article, we will explore what Open Assistant is and how You can contribute to this project. We will also review the first model published by Open Assistant and compare its performance to CharGPT.

Introduction

Hello everyone! In today's article, we will Delve into the world of chatbot systems and explore the exciting developments in the field. We will focus on the evolution of CharGPT variants and introduce you to a groundbreaking open-source project called Open Assistant. If you're interested in contributing to the advancement of chatbot technology or simply want to learn more about Open Assistant, you've come to the right place. So, let's get started!

Evolution of Chatbot Systems

In recent years, chatbot systems have experienced significant advancements thanks to the emergence of large language models. These models, such as ChatGPT developed by OpenAI, have revolutionized the way chatbots Interact and perform. However, the intricacies of the training and architecture details of CharGPT models remain somewhat opaque. As a result, several CharGPT variants have emerged, each with its own unique features and performance.

Variants of CharGPT

Among the notable CharGPT variants, Vikuna stands out as an open-source chatbot that has impressed users with its capabilities. Another noteworthy variant is GBT4, which boasts an impressive 90% CharGPT quality. The Alpaca Model and GPT4 for All are also worth mentioning, as they push the boundaries of chatbot technology. These models share a common characteristic: they all rely on creating training data from CharGPT itself.

Introducing Open Assistant

However, an exciting new project, Open Assistant, aims to replicate the performance of CharGPT while taking a different approach to training data. Open Assistant is an open-source project that seeks to Create a chat-Based assistant capable of understanding tasks, interacting with third-party systems, and dynamically retrieving information. The project is designed to be easily extended and personalized, making it accessible for developers worldwide.

Contributing to the Open Assistant Project

Open Assistant is a collaborative effort, and you can be a part of it too! The project welcomes contributions from individuals who are passionate about improving chatbot technology. By contributing to Open Assistant, you can help create good training data for the model, enhancing its performance and capabilities.

To contribute to the project, you can start by visiting the Open Assistant website (openassistant.io) or exploring the project's GitHub page. On the website, you can try out the assistant and provide valuable feedback to help improve its responses. You can also grab tasks from the dashboard and assist in various ways, such as classifying Prompts or providing assistant replies.

Exploring the Open Assistant Website

The Open Assistant website (openassistant.io) serves as the main hub for the project. Upon visiting the website, you will have the option to try out the assistant and provide feedback to help enhance its performance. The website features a user-friendly interface with dark and light mode options.

To try out the assistant on the website, you can either Continue with your email address or sign in using Discord. While signing in with an email address might require an email verification step, signing in with Discord provides a smoother experience. Once logged in, you will have access to the dashboard and various features of the project.

The website also offers project documentation, providing detailed information about the API and other essential aspects of the project's functionality. The documentation is a valuable resource for contributors who want to understand the inner workings of Open Assistant.

Open Assistant GitHub Page

The Open Assistant project also hosts a GitHub repository, which serves as a central hub for collaboration and development. On the GitHub page, you can find a wealth of information regarding Open Assistant's vision, roadmap, and technical details.

What is Open Assistant?

Open Assistant is a chat-based assistant designed to understand tasks, interact with third-party systems, and retrieve information dynamically. It aims to be easily extendable and customizable while being developed as free open-source software. The project strives to offer a responsive and efficient conversational assistant.

Open Assistant Vision and Roadmap

Open Assistant has a clear vision for the future. The project seeks to achieve its goals through a well-defined roadmap. Currently, Open Assistant utilizes InstructGPT, a language model developed by OpenAI, to fine-tune models for specific tasks.

The roadmap highlights the process of reaching a minimal viable product. Open Assistant aims to Gather 50,000 demonstrations, with step one already completed and steps two and three in progress. The collected data will be used to fine-tune a base model, which is currently based on GPTJ or Jane, with the possibility of incorporating other language models in the future.

Data Stocks

Data stocks play a crucial role in training language models. Open Assistant utilizes the concept of data stocks, with each data stock containing conversations and corresponding metadata. The GitHub page provides detailed explanations and examples of how conversations are structured using a conversation tree and prompts.

Guidelines for Contribution

To ensure productive and efficient contribution, Open Assistant provides guidelines for assisting with prompt classification, replying as an assistant, and replying as a user. These guidelines help contributors create good training examples and maintain the project's quality standards. Following the guidelines leads to more accurate and helpful training data generation.

Dashboard and Task Grabbing

The Open Assistant project features a user-friendly dashboard that allows contributors to access tasks and contribute to the project's development. The dashboard provides an overview of messages, a leaderboard showcasing contributors' points, and various statistics related to the project.

By grabbing tasks from the dashboard, contributors can actively engage in improving the training data for Open Assistant. Whether it involves providing labels for prompts or replies, contributors play a vital role in enhancing the project's performance.

Chatting with the Open Assistant Model

One of the most exciting aspects of Open Assistant is the ability to chat with the model and observe its responses. While the model is still in its early stages of development, it showcases promising potential. Comparing Open Assistant's performance to CharGPT provides insights into the model's capabilities.

Comparing Open Assistant to CharGPT

In a side-by-side comparison with CharGPT, Open Assistant holds its ground remarkably well. It responds to a wide range of questions and demonstrates an understanding of various topics. However, there may still be minor discrepancies or errors in the model's responses, particularly regarding mathematical calculations. Nonetheless, considering that Open Assistant is a relatively new project, it is impressively performing at par with established models.

Conclusion

In conclusion, the field of chatbot systems has witnessed remarkable advancements thanks to large language models like CharGPT and Open Assistant. The evolution of CharGPT and its variants, coupled with the open-source nature of Open Assistant, has paved the way for more personalized and capable chatbots.

Open Assistant welcomes contributions from individuals across the globe, making it a truly collaborative project. By actively participating in the Open Assistant initiative, you not only enhance the performance of the model but also contribute to the future of chatbot technology.

We hope this article has provided you with valuable insights into the world of chatbot systems and the exciting opportunities offered by Open Assistant. Whether you're an aspiring developer or simply curious about the latest advancements in artificial intelligence, Open Assistant is an excellent project to engage with. So, let's join forces and Shape the future of chatbot technology together!