Multi-Model Distributed AI Agent: A fully functional AI agent using various models distributed across all available nodes. API Documentation: Detailed documentation on how to interact with each Ollama API, with usage examples. Performance Testing and Scalability: Testing the system's performance under...
we propose a large language model based multi-agent framework named AgentsBench, which aims to simultaneously improve both efficiency and quality in judicial decision-making. Our approach leverages multiple LLM-driven agents that simulate the collaborative deliberation and decision making process of a jud...
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering The structural similarities between protein sequences and natural languages have led to parallel advancements in deep learning across both domains. While large language models (LLMs)...
In this paper, we describe an attempt to incorporate an agent model using LLM into multi-agent social simulation (MAS). In the implementation of MAS, a problem has been how to construct a computational model to simulate human behavior in the target social environment. Building a model to ...
This hands-on workshop dives into the pairing of LLMs with Knowledge Graphs to complement and amplify their strengths. By the end of the workshop you will understand the synergies between LLMs and Knowledge Graphs; Develop a Q&A Agent to interact with your data using LangChain; Use LlamaInd...
Agenta - Easily build, version, evaluate and deploy your LLM-powered apps. Embedchain - Framework to create ChatGPT like bots over your dataset. Courses about LLM [DeepLearning.AI] ChatGPT Prompt Engineering for Developers Homepage [Princeton] Understanding Large Language Models Homepage [OpenBMB]...
AgentScope Start building LLM-empowered multi-agent applications in an easier way. If you find our work helpful, please kindly cite our paper. Visit our workstation to build multi-agent applications with dragging-and-dropping. Welcome to join our community on DiscordDingTalk News [2025-01-04...
我们使用了AgentOhana xLAM-v0.1-r模型，这是对预训练的Mixtral-8x7B-Instruct-v0.1模型的一个微调...
基于AI大模型衍生能力的Agent智能体应用 目前,业界一般认为基于大模型的应用集中在两个方向上:RAG 和 Agent,无论哪一种应用,设计、实现和优化能够充分利用大模型(LLM)潜力的应用都需要大量的努力和专业知识。随着开发人员开始… 机器姬 颠覆式编程:软件2.0 本文由OneFlow社区翻译并编辑 译者按:在近四年前,特斯拉 AI...
To facilitate the expression of design intentions more intuitively, we propose Text2BIM, an LLM-based multi-agent framework that can generate 3D building models from natural language instructions. This framework orchestrates multiple LLM agents to collaborate and reason, transforming textual user input ...