dnc_loop demonstrates the development of an agent utilizing the DnC algorithm to tackle complex problems. video_understanding showcases the creation of a video understanding agent for interpreting video content using OmAgent. API Documentation The API documentation is available here. 🔗 Related works ...
The current state of the art isKhanmigo, a text-based bot created by Khan Academy. It can tutor students in math, science, and the humanities—for example, it can explain the quadratic formula and create math problems to practice on. It can also help teachers do things like write lesson ...
but they’ve only recently become practical because of advances in AI.这种类型的软件--响应自然语言...
The reason is fundamental: most LMs are not trained for agency/planning. Agency is about goal-directed behaviour, which is essential to AI. Autonomous agent is still an open problem in AI, unless AI is solved. Approximate models will cause problems The author of the paperLanguage Models as ...
Intelligent agents are a crucial part of our lives. They are the present and the future. With continuous technological advancements, AI will solve more and more problems we face today, due to which the industry is also popular among students. With its bright outlook, more and more people want...
Self-Consistency Improves Chain of Thought Reasoning in Language Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models Graph of Thoughts: Solving Elaborate Problems with Large Language Models Cumulative Reasoning with Large Language Models ReAct: Synergizing Reasoning and Acting in ...
事实上,在之前OpenAI公布的五级量表中,最新推出的o1模型处于第二阶段即“推理者”(reasoners)阶段,开发multi-agent符合其第三阶段的目标要求。这样,o1模型的应用方向也进一步指向了AI Agent。 引入了思维链的o1模型本身就已经算是AI Agent了,OpenAI的下一步必然会在AI Agent方面有大动作。
For Learning from the environment and the surroundings, the agent must be able to observe and perceive information from the environment. This is done through the sensors. The sensors form a very crucial part of every AI based agent in improving its performance and helping the agent to act like...
Following this, we delve into agent societies, exploring the behavior and personality of LLM-based agents, the social phenomena that emerge when they form societies, and the insights they offer for human society. Finally, we discuss a range of key topics and open problems within the field....
We can use deep learning strategies in almost all of the decision making, intelligence problems as well as searching from insanely big amounts of data. In this project, we present an AI agent that learns how to play games from visionary input data. We, humans, also play games by seeing ...