Xagent
4.67
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XAgent develops AI agent systems using LLMs, including autonomous agents, chatbots, and performance assessment tools.
What is Xagent?
XAgent is an open research community founded by students at Tsinghua University, focusing on building next-generation AI agent systems based on large language models (LLMs). The organization aims to utilize LLMs as central controllers to create autonomous agents with human-like decision-making capabilities. XAgent offers various tools and resources, including the XAgent autonomous LLM agent designed for tackling complex tasks autonomously, Vicuna chatbot for high-quality chat interactions, Chatbot Arena for evaluating LLMs, FastChat for training and evaluating chatbots, and specific datasets like xagent-Chat-1M and MT-Bench for assessing chatbot performance. Additionally, LongChat is a chatbot supporting extended context lengths. Overall, XAgent endeavors to democratize large model technologies and system infrastructures to advance powerful chatbot systems.
Who created Xagent?
XAgent was created by students at Tsinghua University and founded as an open research community focusing on developing AI agent systems based on large language models. It was launched on October 18, 2023. The organization's members include a diverse team of individuals from various institutions like Tsinghua University, ModelBest Inc., Renmin University, MIT, and Google. XAgent aims to democratize large model technologies and system infrastructures, offering tools such as the XAgent autonomous LLM agent for tackling complex tasks autonomously, Vicuna chatbot, Chatbot Arena for evaluation, and FastChat for chatbot development. The organization also provides specific datasets like xagent-Chat-1M and MT-Bench for evaluating chatbot performance.
What is Xagent used for?
- Vicuna chatbot for high-quality chat interactions with GPT-4
- Chatbot Arena for scalable and gamified evaluation of large language models
- FastChat for training, serving, and evaluating chatbots based on LLM models
- XAgent offering specific datasets and benchmarks for evaluating chatbot performance
- The xagent-Chat-1M dataset for training and analysis of LLM conversation
- MT-Bench for assessing chatbot performance with challenging questions
How to use Xagent?
To use XAgent, follow these steps:
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Understanding XAgent: XAgent is an organization dedicated to democratizing large model technologies, offering an autonomous LLM agent for complex task solving.
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Tools and Resources: XAgent provides various tools like Vicuna, a chatbot for high-quality interactions, Chatbot Arena for evaluation, and FastChat for training and deploying chatbots.
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Datasets and Benchmarks: XAgent offers datasets like xagent-Chat-1M and MT-Bench for training and evaluating chatbot performance rigorously.
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Utilizing LongChat: LongChat is designed to support extended context lengths up to 16K, available in different sizes for enhanced chatbot capabilities.
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Community and Support: XAgent is an open research community founded by students at Tsinghua University, focusing on next-generation AI agent systems based on large language models.
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Purpose of XAgent: The goal of XAgent is to create intelligent autonomous agents using LLMs for human-like decision-making capabilities.
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Member and Institutions: XAgent consists of a diverse team from various institutions like Tsinghua, ModelBest Inc., Renmin University, and collaborations with MIT and Google.
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Contact Information: For more information, you can email [email protected] or join their Discord community.
By following these steps, you can explore and utilize the functionalities of XAgent for developing and evaluating powerful chatbot systems effectively.
Get started with Xagent
Xagent reviews
Hao Zhang
February 4, 2025
What do you like most about using Xagent?
I appreciate Xagent's advanced capabilities in managing complex tasks autonomously. The use of large language models allows for a more human-like interaction, which is invaluable for our research projects.
What do you dislike most about using Xagent?
The only downside I've encountered is the steep learning curve for new users. The documentation could be more comprehensive to ease the onboarding process.
What problems does Xagent help you solve, and how does this benefit you?
Xagent helps streamline our workflow by automating repetitive tasks, allowing us to focus on more strategic activities. This boosts our overall productivity and enhances project outcomes.
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Sofia Liu
February 1, 2025
What do you like most about using Xagent?
The Vicuna chatbot feature is exceptional! It provides high-quality chat interactions that feel very natural. This has improved our customer support efficiency significantly.
What do you dislike most about using Xagent?
Sometimes, the performance assessment tools can be a bit overwhelming due to the sheer amount of data they generate.
What problems does Xagent help you solve, and how does this benefit you?
Xagent allows us to evaluate LLMs effectively using Chatbot Arena, which helps us select the best model for our needs and ensure high performance in our applications.
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Amir Khan
January 18, 2025
What do you like most about using Xagent?
The flexibility of the LongChat feature, which supports extended context lengths, is a game-changer for detailed conversations and complex queries.
What do you dislike most about using Xagent?
The integration process with existing systems can be complex, requiring some technical expertise.
What problems does Xagent help you solve, and how does this benefit you?
Xagent enables us to create highly responsive chatbots that can handle more nuanced conversations, greatly enhancing user satisfaction.
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