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

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

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: 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

Exploring AI Development Frameworks with PhiData

Exploring AI Development Frameworks with PhiData

The development of AI Agents or AI Assistants is booming, with various Agents emerging. How do we develop an Agent or Assistant? Through the PhiData project, we can glimpse the foundational components and frameworks for Agent development. Project Positioning 🎯 The slogan of PhiData is “Building memory, knowledge, and tools for AI assistants.” The capabilities … Read more

Understanding KIMI AI: A Comprehensive Guide

Understanding KIMI AI: A Comprehensive Guide

Learn how to converse with AI here Get 100,000 words of free AI learning materials In today’s rapidly advancing technological era, artificial intelligence (AI) is no longer a concept from science fiction but has genuinely integrated into our lives. From voice assistants on smartphones to intelligent control of smart home devices, and the convenient functions … Read more

Kimi K1.5: Multimodal Reinforcement Learning Achieves Performance and Efficiency

Kimi K1.5: Multimodal Reinforcement Learning Achieves Performance and Efficiency

Finally, Kimi has been updated! I’ve been looking forward to this. It is said to be in grayscale: but my interface still looks like this. Let’s wait a bit and try later~ Let’s read the paper together and see what technical details have changed. Address: https://github.com/MoonshotAI/Kimi-k1.5/blob/main/Kimi_k1.5.pdf The pre-training methods of large language models (LLMs) have … Read more

LangChain + Tongyi Qianwen + AnalyticDB Vector Engine Comprehensive Guide

LangChain + Tongyi Qianwen + AnalyticDB Vector Engine Comprehensive Guide

AliMei’s Introduction This article shares detailed development experience and best practices using the AI framework LangChain, Alibaba Cloud Tongyi large model, and AnalyticDB vector engine, taking the construction of an AIGC application ChatBot and AI Agent as examples to provide a reference for quickly implementing AIGC applications. Introduction On September 13, the Tongyi Qianwen large … Read more

5 AI Commands for a Unique 2025 Spring Festival

5 AI Commands for a Unique 2025 Spring Festival

Learn how to converse with AI from here Get 100,000 words of free AI learning materials The Spring Festival of 2025 is approaching! Want to experience a unique and tech-savvy Spring Festival? Today, I will share 5 super practical AI command templates that will help you easily grasp the Spring Festival of 2025 and play … Read more