论文链接:AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation 代码仓库:github.com/huangd1999/A 任务:代码生成 数据集:HumanEval、MBPP、HumanEval-ET和MBPP-ET 本文提出一个多代理代码生成框架AgentCoder,包含
generated code by, for example, fixing bugs, while maximizing the usage of the LLM agents. Here, we first discuss the agents (as per the pipeline), their prompts, and interactions, followed by the dynamic agent traversal protocol in MapCoder towards code generation for competitive problem-...
Code Generation: Generate code snippets and scripts for automating various tasks, thus speeding up the development and deployment of automation solutions [1].代码生成:生成用于自动化各种任务的代码片段和脚本,从而加快自动化解决方案的开发和部署[1]。 Contextual Assistance: Provide real-time assistance and ...
Paper tables with annotated results for AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Determine project needs and choose the most ideal LLM to meet those needs.The best LLMs for multi-agent systems offer advanced reasoning capabilities, reading comprehension, language understanding, and code generation. Define the role and objectives for each AI agent.Ensure each AI agent knows what...
To address this, we propose RTLSquad, a novel LLM-Based Multi-Agent system for interpretable RTL code generation. RTLSquad divides the design process into exploration, implementation, and verification & evaluation stages managed by specialized agent squads, generating optimized RTL code through inter-...
These techniques are implemented in a tool that supports multi-agent systems core code generation for JaCaMo. The underlying ontology also allows for reasoning about the multi-agent systems models under development. Such comprehensive approach, therefore, spans through the modelling, programming, and ...
Every enterprise will need agentic retrieval-augmented generation (RAG). Implementing agentic RAG can connect teams of agents to enterprise knowledge. Multi-agent systems that can perceive, reason, and act will turn that knowledge into action to solve problems. To give AI agents access to large am...
后面init_args里面的内容分别是对与SimpleDirectoryReader和CodeSplitter初始化时候需要的参数。其中最重要的参数是数据载入的input_dir,这个参数规定了我们从哪里读取文件。 {"class": "LlamaIndexAgent","args": {"name": "AgentScope Framework Code Assistant","sys_prompt": "You're a helpful assistant about ...
Status:Archive (code is provided as-is, no updates expected) Multiagent emergence environments Environment generation code forEmergent Tool Use From Multi-Agent Autocurricula(blog) This repository depends on themujoco-worldgenpackage. You will need to clone the mujoco-worldgen repository and install ...