Data Visualization Tutorial for Animating Time-Dynamic Behavior in Social Networks

Data Visualization Tutorial for Animating Time-Dynamic Behavior in Social Networks

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

Explosive Growth of Intelligent Agents: Open Source Framework

Explosive Growth of Intelligent Agents: Open Source Framework

AI Agent Early Insights How far have large models developed? With the explosion of intelligent Agents, what can they actually do? Today, we introduce an open-source Agent that you can start using ahead of others! What is an Agent? An Agent is a computer program or entity that can make autonomous decisions, execute specific tasks, … 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

AI Insights: Data Development and Analysis in 2025

AI Insights: Data Development and Analysis in 2025

Followinglast week’sthoughts on Type 1 and Type 2 tasks, I reflected on my Type 1 tasks (tasks that can be done better than AI). As a data engineer, what can be done at this stage is to apply AI to various aspects of data development, including: data integration, SQL generation, data quality checks, Gen BI … Read more

Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Implementing Local RAG with Groq and Llama 3: Phidata Framework Application and Performance Showcase

Phidata is a framework designed for building AI agents with memory, knowledge, and tools. https://www.phidata.com/ https://github.com/phidatahq/phidata https://docs.phidata.com/introduction Three Aspects of Phidata Enhancing LLM Functionality: Memory: Phidata stores chat history in a database, allowing large language models to support longer conversations, thereby better understanding and tracking the context of dialogues. Knowledge: By storing business-relevant information in … Read more

Phidata: A Framework for Multi-Modal Agents

Phidata: A Framework for Multi-Modal Agents

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: 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

Creating AI Agents with Memory and Tools Using Phidata

Creating AI Agents with Memory and Tools Using Phidata

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

Unlocking Efficient Work: Building Multimodal Assistants with Phidata

Unlocking Efficient Work: Building Multimodal Assistants with Phidata

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