01# Introduction The Qizhi platform is designed for building generative AI native applications. Through the Qizhi platform, we can significantly simplify complex technical tasks and build various types of applications through visual orchestration, making creativity and innovation faster, better, and easier to achieve. When we were kids, we played with building blocks, constructing castles, planes, … Read more
The previous article introduced the basic concepts, mainstream architectures, and application frameworks of AI Agents. In this article, we begin to review the AI Agents of 2024, starting with the well-known best practices from Anthropic: Building Effective Agents. For the original text, see [1]. This article summarizes the main content. Over the past year, Anthropic … Read more
01 | Introduction In the previous article, we discussed in detail what an Agent is. Here, we will review it again. An Agent is a way to encapsulate a large model to simplify user interaction. It understands the user’s intent based on their input, selects the appropriate Tool through the action field, and uses the … Read more
Content Source: https://cookbook.openai.com/examples/orchestrating_agents https://github.com/openai/swarm?tab=readme-ov-file AI Multi-agent Concept and Origins When using language models, achieving stable performance usually only requires a good prompt and the right tools. However, things can get tricky when dealing with many unique processes. Basic Concepts: 1.Routines: The concept of a routine is not strictly defined, but is intended to capture the … Read more
Professor Andrew Ng recently shared his views on Agents at the Sequoia AI Summit. Although some media outlets have reported on this, they sacrificed accuracy for the sake of timeliness by using machine translation, which increased unnecessary reading barriers. The Agent Universe has reorganized and translated a version that retains Professor Ng’s original intent while … Read more
LangGraph provides a high level of control over the execution of charts. How to Create Parallel Execution Branches The parallel execution of nodes is crucial for speeding up overall graph operations. LangGraph offers native support for parallel execution of nodes, which can significantly enhance the performance of graph-based workflows. This parallelization is achieved through fan-out … Read more
Map-reduce operations are crucial for efficient task decomposition and parallel processing. This method involves breaking down tasks into smaller sub-tasks, processing each sub-task in parallel, and aggregating the results of all completed sub-tasks. Consider this example: Given a general topic from the user, generate a list of related topics, create a joke for each topic, … Read more
Introduction Langchain recently launched an impressive course focused on LangGraph and its key features in developing powerful agent and multi-agent workflows. In this series, we will explore the essential insights from the course and create applications that leverage agent workflows. In the first part, we will cover the basic concepts of LangGraph and how to … Read more
Version 3.2 of cline has been released, featuring the Plan & Act Modes which effectively distinguish between AI code thinking and action, highlighting the capabilities of cline’s ‘System Two’. Planning Mode Optimized for situational collection and strategy Collaborates with you to formulate plans; does not write code Complete document reading capability for project understanding Focuses … Read more