This tutorial aims to guide you from scratch in mastering the skills to develop large model applications using Python. If the current content feels obscure, you can refer back to the earlier articles in this series to lower the learning difficulty. 1. Why Use the Python Interpreter? ScenarioYou ask AI: “What is 123456789 × 987654321?” … Read more
Version Compatibility: R2021a and above Toolbox Requirements: Reinforcement Learning Toolbox + Deep Learning Toolbox 1. Introduction Deep Reinforcement Learning (DRL) is a class of intelligent decision-making algorithms that combines deep learning with reinforcement learning. The core idea is to learn a policy that maximizes long-term cumulative rewards through interaction with the environment. Starting from R2019b, … Read more
Basic Knowledge Operational Steps Step 1: Open the Kouzi Development Platform Step 2: Workspace – Resource Library – +Resource Step 3: Create Workflow Step 4: View the “Create Agent” documentation, open in a new tab Step 5: Documentation – Authorization – Personal Access Token, modify the token’s permissions Step 6: Add the “HTTP Request” node … Read more
What does agent mean in artificial intelligence? Imagine your phone’s weather app automatically pushing storm warnings and reminding you to take an umbrella; the recommendation system of an e-commerce platform seems to understand your thoughts, accurately pushing products you are interested in; even the robotic arms in factories can autonomously identify product defects and sort … Read more
Research on the Translation Controversy of Artificial Intelligence Agents and Its Philosophical and Legal Significance ——AI Search Q&A Series54 【Editor’s Note】Today we publish a deep study by Mita AI on the questions posed to the large model: How to translate agent in artificial intelligence? How to understand the philosophical significance of agent in artificial intelligence? … Read more
Written by: Zeping Macro TeamArtificial Intelligence (AI)has greatly expanded its application boundaries and capabilities, from perceptual AI, which excels in image and speech recognition, to generative AI, which has recently been able to generate various types of content such as text and images. Currently, large language models like Deepseek and ChatGPT have profoundly changed the … Read more
With the continuous improvement of China’s scientific and technological level, artificial intelligence has entered a period of rapid development. Agents, with their inherent advantages, are widely used in the modeling and simulation of various systems and play an important role in related fields. Next, let us enter this issue of the “Rainbow” lecture hall to … Read more
Introduction: An AI Agent refers to an artificial intelligence system that can autonomously execute tasks in specific environments. It not only receives tasks but also independently formulates and executes work plans while continuously self-evaluating and adjusting during the process, similar to how humans think and correct in creative tasks. The four key design patterns of … Read more
Author | Yang Tao With the launch of plugins and function calling capabilities by ChatGPT, the concept of building an AI Agent based on LLM (Large Language Model) as a core controller has increasingly become a concept with infinite possibilities. The application potential of LLM is not limited to generating high-quality articles, stories, essays, and … Read more
1. Continuously Trying to Implement AI Application End Based on my understanding of operations and maintenance, I developed an open-source operation and maintenance tool https://github.com/shaowenchen/ops. The Ops tool divides operation and maintenance tasks into two categories: script execution and file distribution, while the operation and maintenance targets, hosts and Kubernetes clusters, implement these two types … Read more