Agent Zero is not a predefined agentic framework. It is designed to be dynamic, organically growing, and learning as you use it. Agent Zero is fully transparent, readable, comprehensible, customizable and interactive. Agent Zero uses the computer as a tool to accomplish its (your) tasks....
Agent Zero is not pre-programmed; it is prompt-based. The whole framework contains only a minimal amount of code and does not guide the agent in any way. Everything lies in the system prompt in the prompts/ folder. Here you can rewrite the whole framework behavior to your needs. If you...
https://github.com/zeromq/libzmq/archive/v4.3.4.tar.gz 表6-44Python第三方软件包 序号 软件包 获取路径参考 1 portalocker-1.7.0-py2.py3-none-any.whl https://pypi.tuna.tsinghua.edu.cn/packages/53/84/7b3146ec6378d28abc73ab484f09f47dfa008ad6f03f33d90a369f880e25/portalocker-1.7.0-py2...
Set the spotMaxPrice property: Possible values are any decimal value greater than zero or -1 which indicates the willingness to pay any on-demand price. AgentPoolInner withTags(Map<String,String> tags) Set the tags property: The tags to be persisted on the agent pool virtual machine scal...
Possible values are any decimal value greater than zero or -1 which indicates default price to be up-to on-demand. Parameters: spotMaxPrice - the spotMaxPrice value to set Returns: the ManagedClusterAgentPoolProfileProperties object itself.withTags public ManagedClusterAgent...
第一篇我们结合langchain介绍无需微调,使用few-shot,zero-shot prompt来生成推理和工具调用模板的两个方案ReAct和SelfASk。个人对langchain是又爱又恨,爱的是它集成了很多前沿的大模型应用方案,恨是感觉它有些过度封装,有点简单问题复杂设计的感觉。因此推荐使用langchain来理解每种方案的实现原理,然后脱离langchain自...
[google_search,code_interpreter]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can be repeated zero or more times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the ...
2016年，AlphaGO（谷歌专门从事围棋游戏的AI Agent）将击败欧洲冠军（范慧）和世界冠军（李世石），并很快被自己的兄弟（AlphaGo Zero）打败。2017年，谷歌提出transformer。2018年，谷歌发布基于Transformer模型的BERT，拉开了大语言模型序幕。2019年，谷歌AlphaStar在视频游戏《星际争霸2》上达到了Grandmaster，表现优于除0...
Github:https://github.com/THUDM/AgentTuning Huggingface:https://huggingface.co/THUDM 魔搭社区:https://modelscope.cn/models/ZhipuAI Paper:https://arxiv.org/abs/2310.12823 方法:AgentTuning AgentTuning 主要包括 2 个阶段。首先,我们收集并过滤得到一个多任务指令微调数据集 AgentInstrcut;然后,我们将 ...
这一过程通过微调的方法来训练大模型,仅需要每个API几个示例即可。该工作集成了一系列工具,包括计算器、问答系统、搜索引擎、翻译系统和日历。Toolformer在多种下游任务中实现了显著提升的零次学习(zero-shot)性能,经常与更大的模型竞争,而不牺牲其核心的语言...