With the rapid development of artificial intelligence technology, multi-agent systems have gradually become a new favorite for research and application. OpenAI’s Swarm tool undoubtedly injects strong momentum into this field. Today, I will share my insights on using Swarm to develop multi-agent applications, helping you easily master this revolutionary tool. 1. Introduction to OpenAI Swarm … Read more
Previously, I have written many articles introducing RAG implemented based on Azure OpenAI. This article introduces the implementation of RAG through Phi-2 and LlamaIndex. LlamaIndex is an open-source framework that effectively builds LLM applications when used in conjunction with Hugging Face Transformers, providing convenient methods for setting up databases and retrievers. The community activity of … Read more
Gephi: A Python Library for Graph Data Visualization and Analysis In the fields of data science and network analysis, graph data is widely used in various areas such as social networks, internet link structures, and recommendation systems. As the scale of data increases and the complexity of analysis demands rises, how to efficiently visualize and … Read more
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
Big Data Digest authorized reprint from Data Pie THU Author: Haaya Naushan Translation: Che Qianzi, Ouyang Jin When it comes to analyzing social networks, my previous articles mainly focused on Natural Language Processing (NLP), or more specifically, Arabic NLP. However, tweets are not just text data; they represent network connections between Twitter users. Adding network … Read more
More AI Open Source Tools: https://www.aiinn.cn/ Phidata is a framework for building multi-modal agents. Using Phidata, you can: build multi-modal agents with memory, knowledge, tools, and reasoning. Establish a team of agents that can collaborate to solve problems. Chat with your agents using a beautiful Agent UI. 16200 Stars 2200 Forks 28 Issues 82 Contributors … Read more
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
Follow the official WeChat account “Full Stack AI Knowledge” Set it as “Starred” to learn something new every day Today, we will kick off a new series of tutorials to help you build your own AI assistant. This tutorial will focus on Phidata, starting with building a daily AI assistant and moving on to tool … Read more
Exploring the World of Multimodal Agents: Introduction to the Phidata Framework With the development of artificial intelligence technology, the application of multimodal agents is becoming increasingly widespread. Phidata, as a powerful framework, allows users to build multimodal agents with memory, knowledge, tools, and reasoning capabilities. This article will delve into the features, application scenarios, and … Read more
Aitrainee | Official Account: AI Trainee 🌟Phidata adds memory, knowledge, and tools to LLMs. ⭐️ Phidata:https://git.new/phidata Phidata is a framework for building autonomous assistants (also known as agents) that have long-term memory, contextual knowledge, and can perform actions through function calls. Recommended a tutorial video from YouTuber WorldofAl: Why Choose Phidata? Problem: Large Language Models … Read more