Introduction to GPT Agents: Ideal Application Scenarios

Introduction to GPT Agents: Ideal Application Scenarios

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

Understanding Intelligent Agents Through AutoGPT

Understanding Intelligent Agents Through AutoGPT

1. Concept of Intelligent Agents What is an intelligent agent? The answer given by LLM is as follows: An agent, also known as an intelligent agent, is an important concept in the field of artificial intelligence. It is an entity capable of autonomously understanding, planning decisions, and executing complex tasks. Intelligent agents can perceive their … Read more

Is Preparing Agents More Reliable Than Expecting GPT-5?

Is Preparing Agents More Reliable Than Expecting GPT-5?

Stanford professor Andrew Ng suggested in a speech that Agentic Workflow will drive significant advancements in artificial intelligence this year, possibly even surpassing the next generation of foundational models. This is a trend worth paying attention to. Key Points What is Agent Workflow? Why is Andrew Ng re-promoting Agent Workflow? Does Agent Workflow write code … Read more

Concept of AI Agents and the Swarm Framework

Concept of AI Agents and the Swarm Framework

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

Phi Series Models: Small Size, Big Impact

Phi Series Models: Small Size, Big Impact

Today, Microsoft released the Phi3 model, which achieves results comparable to Mixtral-8x7B with a compact size of 3.8B, causing quite a stir in the community. Teacher Fuyao exclaimed, “Cannot compare to Li Jie!” A while ago, I tried to finetune the Phi2 model, and to be honest, the results were not very ideal. The default … Read more

Understanding the AI Agents Technology Stack for 2025

Understanding the AI Agents Technology Stack for 2025

As the new year 2025 begins, this year will be the year of “Agentic Systems“, and “2025 will see the emergence of true Agents“. Time waits for no one, please receive your overview of the AI Agents technology stack. Understanding the AI Agents Ecosystem Although we have seen numerous classification diagrams regarding the Agent stack … Read more

Comprehensive Analysis of AI Agents Technology Stack in 2024

Comprehensive Analysis of AI Agents Technology Stack in 2024

Letta is a company focused on AI agents, providing open-source tools and cloud services to help developers build, deploy, and manage AI agents with memory and tool-calling capabilities. Original text: https://www.letta.com/blog/ai-agents-stack (Translated by ChatGPT) Understanding the Ecosystem of AI Agents While there are many maps of agent technology stacks and markets available, we often disagree … Read more

Top 5 AI Agent Frameworks to Explore in 2025

Top 5 AI Agent Frameworks to Explore in 2025

Basic Structure of Agents The following code snippet demonstrates the simplest AI Agent. The AI Agent solves problems using language models. The definition of an AI Agent may include large or small language models, memory, storage, external knowledge sources, vector databases, instructions, descriptions, names, etc. For example, modern AI Agents like Windsurf can help anyone … Read more

Phidata: 8.3K Stars! Create AI Agents with Long-Term Memory Using GPT-4o

Phidata: 8.3K Stars! Create AI Agents with Long-Term Memory Using GPT-4o

Project Overview Phidata is an open-source framework designed to build automated assistants (intelligent agents) with memory, knowledge, and tool capabilities. This framework addresses the limitations of existing large language models (LLMs) in terms of context and their inability to perform actions by adding a database to store chat history, a vector database to store business … Read more

Phidata: Framework for Building AI Assistants Using LLM Function Calls

Phidata: Framework for Building AI Assistants Using LLM Function Calls

  Phidata: A framework for building AI assistants using LLM function calls, allowing LLMs to intelligently choose actions based on responses by executing functions. The assistant has built-in memory, knowledge, storage, and tools, making it easy to build various applications such as knowledge assistants, data assistants, Python assistants, customer assistants, research assistants, marketing assistants, travel assistants, … Read more