Darren LI

Unity和Unreal两款游戏引擎都有超过二十年的发展历程,都包含了各种复杂的工具和功能。渲染,动画工具,脚本,profilers,DCC导入工具,地形,物理,网络,音频,VR,过场动画,版本控制集成等。就功能规格而言,Unity和Unreal无疑是目前功能最丰富和第二丰富的游戏引擎。

Our extensive test over 25 LLMs (including APIs and open-sourced models) shows that, while top commercial LLMs present a strong ability of acting as agents in complex environments, there is a significant disparity in performance between them and open-sourced competitors.

This is a challenging task even for today's state-of-the-art LLMs such as GPT-4, largely due to their inability to generate accurate input arguments and their tendency to hallucinate the wrong usage of an API call

自动驾驶汽车公司尝试过这种方法,但尚未完全成功。许多自动驾驶汽车公司,比如特斯拉,尝试通过在大量数据上训练这样一个端到端的大模型来实现5级自动驾驶,他们拥有训练模型所需的资源,资金和数据。特别是特斯拉在实际部署的10几万辆汽车中,不断收集并注释数据。尽管如此,特斯拉迄今尚未能生产出5级自动驾驶系统。这并不是说他们的方法根本不起作用,它能够处理大量驾驶情况,然而,它远未达到99.X%的可靠性。

第一,contextual data,上下文数据,AI对于语境的理解;第二,personal data,个性化数据,AI对于使用者的理解;第三,collaborative data,合作化数据,AI应用应处在工作流和交互中,而不是作为工具独立存在。

First, here a generalized framework for an autonomous agent :

1. Initialize Goal : Define the objective for the AI.


2. Task Creation : The AI checks its memory for the last X tasks completed (if any), and then uses it’s objective, and the context of it’s recently completed tasks, to generate a list of new tasks.


3. Task Execution : The AI executes the

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