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AI Framework

42 articles · Page 1 of 1
Machine Heart
Machine Heart
Aug 3, 2026 · Artificial Intelligence

Build Self‑Evolving DeepSeek Agents for Just ¥0.2 with PenguinHarness

PenguinHarness, the open‑source harness created by LlamaFactory’s author, enables anyone to automatically construct, evaluate, and continuously improve large‑model agents—including DeepSeek—at a fraction of the cost and time of Codex, using a four‑step self‑evolution loop, a custom GDPevo benchmark, and strict contract rules to ensure safe, reproducible upgrades.

AI FrameworkAgentDeepSeek
0 likes · 12 min read
Build Self‑Evolving DeepSeek Agents for Just ¥0.2 with PenguinHarness
ZhiKe AI
ZhiKe AI
Jun 16, 2026 · Artificial Intelligence

What Is LangChain? Turning Scattered LLM Steps into Standardized Components

LangChain is an LLM application framework that standardizes development steps into reusable components linked by a unified syntax (LCEL), offering modules such as Models, Prompts, Chains, Agents, Tools, and Memory, and shows measurable benefits like 17% lower latency and halved development time for multi‑step workflows.

AI FrameworkAgentsLLM
0 likes · 4 min read
What Is LangChain? Turning Scattered LLM Steps into Standardized Components
java1234
java1234
May 5, 2026 · Artificial Intelligence

Spring AI 2.0: New Video Tutorial Series Empowers Java Developers with AI

The author announces a refreshed Spring AI 2.0 video tutorial series and provides a detailed overview of the framework’s design goals, provider‑agnostic API, full‑type model support, Spring integration, enterprise value, typical use cases, and a comparison with competing Java AI libraries.

AI FrameworkLangChain4jRAG
0 likes · 7 min read
Spring AI 2.0: New Video Tutorial Series Empowers Java Developers with AI
AI Illustrated Series
AI Illustrated Series
Apr 28, 2026 · Artificial Intelligence

Comprehensive Interview Guide: LangChain & LangGraph Frameworks

This article provides a detailed, question‑and‑answer style walkthrough of LangChain and LangGraph, covering their core concepts, components, workflow patterns, memory mechanisms, LCEL syntax, graph construction, conditional edges, loops, multi‑agent collaboration, persistence, and a comparison with LlamaIndex, offering concrete code examples and practical insights for AI interview preparation.

AI FrameworkAgentLCEL
0 likes · 32 min read
Comprehensive Interview Guide: LangChain & LangGraph Frameworks
Code Ape Tech Column
Code Ape Tech Column
Apr 9, 2026 · Artificial Intelligence

Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Java Projects?

This article compares Spring AI Alibaba and AgentScope-Java, examining their distinct design philosophies—graph‑based workflow versus agentic autonomy—core architectures, key capabilities, code examples, and practical selection guidance, while also highlighting the emerging trend of merging both approaches for optimal Java AI development.

AI FrameworkAgentScopeArtificial Intelligence
0 likes · 14 min read
Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Java Projects?
Su San Talks Tech
Su San Talks Tech
Apr 9, 2026 · Artificial Intelligence

Spring AI Alibaba vs AgentScope-Java: Which AI Framework Wins for Java Developers?

This article compares Alibaba's Spring AI Alibaba and the AgentScope-Java framework, examining their design philosophies, workflow versus agentic paradigms, core capabilities, architecture, code styles, and suitable use cases, and offers guidance on selecting the right solution or combining both for optimal Java AI development.

AI FrameworkAgentScopeComparison
0 likes · 16 min read
Spring AI Alibaba vs AgentScope-Java: Which AI Framework Wins for Java Developers?
Code Ape Tech Column
Code Ape Tech Column
Mar 25, 2026 · Artificial Intelligence

Why Spring AI Alibaba Is the Game-Changer for Java AI Development

This article provides an in‑depth analysis of Spring AI Alibaba, comparing it with Spring AI, detailing its four‑layer architecture, GraphCore workflow engine, AgentFramework, enterprise‑grade MCP integration, code examples, pros and cons, suitable scenarios, and future roadmap for Java developers building AI applications.

AI FrameworkAgentGraph
0 likes · 16 min read
Why Spring AI Alibaba Is the Game-Changer for Java AI Development
DataFunSummit
DataFunSummit
Mar 22, 2026 · Artificial Intelligence

How OxyGent Enables Enterprise‑Scale Multi‑Agent Collaboration

This article introduces OxyGent, an open‑source Python framework released in July 2025 that provides atomic orchestration, infinite extensibility, and multi‑modal tool integration for building high‑performance, enterprise‑grade multi‑agent systems, covering its architecture, quick‑start workflow, prompt management, memory bank, and future roadmap.

AI FrameworkPrompt Managementagent orchestration
0 likes · 22 min read
How OxyGent Enables Enterprise‑Scale Multi‑Agent Collaboration
Architecture Digest
Architecture Digest
Mar 6, 2026 · Artificial Intelligence

AgentScope Java: Unlock Multi‑Agent AI Development Without Leaving Java

This article introduces AgentScope Java, a multi‑agent development framework that lets Java developers build intelligent assistants and collaborative agents with built‑in reasoning, tool use, memory, RAG, and Spring Boot integration, providing production‑grade performance and easy setup.

AI FrameworkAgentScopeRAG
0 likes · 9 min read
AgentScope Java: Unlock Multi‑Agent AI Development Without Leaving Java
Data Party THU
Data Party THU
Nov 14, 2025 · Artificial Intelligence

Unlocking Multi‑Agent Collaboration with AutoGen: 5 Core Concepts Explained

This article introduces Microsoft Research's open‑source AutoGen framework, explains its five core concepts—including human‑in‑the‑loop, code execution, tool integration, multi‑agent collaboration, and termination mechanisms—provides practical Python examples, and compares it with competing solutions to show why it matters for building complex AI systems.

AI FrameworkAutoGenPython
0 likes · 9 min read
Unlocking Multi‑Agent Collaboration with AutoGen: 5 Core Concepts Explained
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 5, 2025 · Artificial Intelligence

How TinyAI Brings a Full‑Stack AI Framework to Pure Java

TinyAI is a completely Java‑implemented, lightweight full‑stack AI framework that demonstrates how to build a production‑grade deep‑learning system—from low‑level numeric tensors and automatic differentiation to modular neural‑network layers, training pipelines, large‑language‑model implementations, and intelligent agent architectures—while remaining education‑friendly and free of external dependencies.

AI FrameworkAgent SystemModel Optimization
0 likes · 33 min read
How TinyAI Brings a Full‑Stack AI Framework to Pure Java
DataFunSummit
DataFunSummit
Sep 30, 2025 · Artificial Intelligence

How to Govern AI Ethically: Frameworks, Risks, and Real‑World Practices

This article explores AI governance and ethics, outlining five key parts: AI business scenarios, data and AI risks, a comprehensive governance framework, practical implementation steps, and measurable benefits, while also providing expert insights and a Q&A session for deeper understanding.

AI FrameworkAI governanceAI risk management
0 likes · 16 min read
How to Govern AI Ethically: Frameworks, Risks, and Real‑World Practices
AntTech
AntTech
Sep 12, 2025 · Artificial Intelligence

Unlock Enterprise AI Success with the New AI Adoption Maturity Model (AIM²)

The article introduces the AI Adoption Maturity Model (AIM²), a five‑level framework covering strategy, organization, data, technology, application, and business, and showcases industry case studies that illustrate how enterprises can assess their AI readiness, identify gaps, and accelerate AI‑driven transformation.

AI FrameworkAI adoptionAI maturity
0 likes · 5 min read
Unlock Enterprise AI Success with the New AI Adoption Maturity Model (AIM²)
DataFunTalk
DataFunTalk
Sep 10, 2025 · Artificial Intelligence

How Ant Group’s Ray‑Powered Ragent Redefines LLM‑Based AI Agents

The article presents Ant Group’s Ray‑based Ragent framework, detailing its background, motivation behind unified AI serving, and the four core modules—Profile, Memory, Planning, and Action—that together enable large‑language‑model agents for financial applications.

AI FrameworkAnt GroupLLM Agents
0 likes · 4 min read
How Ant Group’s Ray‑Powered Ragent Redefines LLM‑Based AI Agents
DataFunSummit
DataFunSummit
Sep 9, 2025 · Artificial Intelligence

How Ant Group’s Ragent Redefines Distributed LLM Agents with Ray

This article introduces Ant Group’s Ragent, a Ray‑based distributed AI agent framework, covering its background, motivation in the large‑model era, and a four‑module design (Profile, Memory, Planning, Action) that enables scalable LLM‑driven agents.

AI FrameworkAnt GroupLLM Agents
0 likes · 4 min read
How Ant Group’s Ragent Redefines Distributed LLM Agents with Ray
JD Cloud Developers
JD Cloud Developers
Aug 25, 2025 · Artificial Intelligence

Kickstart Multi-Agent Collaboration with OxyGent: 20‑Line Setup Guide

This guide introduces the open‑source OxyGent multi‑agent framework, provides step‑by‑step installation, a 20‑line hello‑world example, tool integration via SSE, MCP and FunctionHub, deployment features like data persistence and distributed setup, and outlines advanced use cases such as multimodal agents and plan‑and‑solve paradigms.

AI FrameworkOxyGentPython
0 likes · 5 min read
Kickstart Multi-Agent Collaboration with OxyGent: 20‑Line Setup Guide
21CTO
21CTO
Aug 13, 2025 · Artificial Intelligence

Spring AI 1.0.1 Released: Key Features, Enhancements, and Roadmap Highlights

Spring AI 1.0.1 has been officially released, introducing over 150 changes that improve stability, add new AI model provider capabilities, advanced features like vector store enhancements and MCP streaming, and outline upcoming roadmap priorities for developers and enterprises.

AI FrameworkSpring AIfeatures
0 likes · 3 min read
Spring AI 1.0.1 Released: Key Features, Enhancements, and Roadmap Highlights
Su San Talks Tech
Su San Talks Tech
Jun 26, 2025 · Artificial Intelligence

Master Spring AI Alibaba 1.0: Upgrade Guide, New Features & Real‑World Code

This article walks you through what Spring AI Alibaba 1.0 offers, highlights its major updates such as the Graph multi‑agent framework and ecosystem integrations, and provides a step‑by‑step upgrade path with Maven dependency changes, code fixes, and configuration adjustments for Java developers.

AI FrameworkGraphMCP
0 likes · 20 min read
Master Spring AI Alibaba 1.0: Upgrade Guide, New Features & Real‑World Code
Alimama Tech
Alimama Tech
Jun 25, 2025 · Artificial Intelligence

Introducing ROLL: A Scalable, User‑Friendly RL Framework for Large‑Scale LLM Training

ROLL is an open‑source reinforcement‑learning framework designed for large language model post‑training that combines multi‑task RL, agentic support, flexible algorithm configuration, elastic resource scheduling, and rich observability, delivering significant accuracy gains across benchmarks while remaining easy to use for researchers, product developers, and infrastructure engineers.

AI FrameworkLarge Language ModelsRLHF
0 likes · 11 min read
Introducing ROLL: A Scalable, User‑Friendly RL Framework for Large‑Scale LLM Training
Java Architecture Diary
Java Architecture Diary
May 21, 2025 · Artificial Intelligence

Spring AI 1.0 Launch: Production‑Ready Java AI Framework Unveiled

Spring AI 1.0, the first production‑grade Java AI framework, introduces ready‑to‑use APIs, seamless model integration, enterprise‑level RAG engine, smart tool calling, and three development modes, empowering developers to rapidly build, customize, and fully control AI applications with major model providers like OpenAI, Anthropic, DeepSeek.

AI FrameworkDeepSeekJava AI
0 likes · 13 min read
Spring AI 1.0 Launch: Production‑Ready Java AI Framework Unveiled
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 25, 2025 · Artificial Intelligence

Introducing Spring AI: A Java Framework for Building Generative AI Applications

This article introduces Spring AI, a Java‑based AI framework inspired by LangChain, explains its core capabilities such as model management, inference, extension and Spring ecosystem integration, and provides step‑by‑step installation, configuration, sample code, and guidance for creating MCP services.

AI FrameworkMCPModel Management
0 likes · 6 min read
Introducing Spring AI: A Java Framework for Building Generative AI Applications
Cognitive Technology Team
Cognitive Technology Team
Feb 28, 2025 · Artificial Intelligence

Design and High‑Availability Architecture of Alibaba LangEngine AI Application Framework

This article introduces Alibaba's LangEngine, a pure Java AI application framework, detailing its high‑availability gateway architecture, communication protocols, streaming and non‑streaming output, multi‑level metadata caching, asynchronous and serverless designs, and future open‑source roadmap, offering practical guidance for building robust AI services.

AI FrameworkAsynchronous DesignHigh Availability
0 likes · 11 min read
Design and High‑Availability Architecture of Alibaba LangEngine AI Application Framework
DataFunSummit
DataFunSummit
Feb 17, 2025 · Artificial Intelligence

NorthStar Large‑Model Training Framework: Architecture, APIs, Pipeline and Multi‑GPU Strategies

The article introduces the NorthStar large‑model training framework developed by DeWu, detailing its background challenges, pipeline architecture, rich API support, multi‑GPU training modes, multi‑level embedding storage, hardware selection considerations, and a brief Q&A on data versus model parallelism.

AI FrameworkEmbedding StorageLarge model training
0 likes · 9 min read
NorthStar Large‑Model Training Framework: Architecture, APIs, Pipeline and Multi‑GPU Strategies
Architects' Tech Alliance
Architects' Tech Alliance
Feb 4, 2025 · Artificial Intelligence

Why AI Frameworks Are the Backbone of Modern AI – Spotlight on MindSpore

The article explains what AI frameworks are, why they act as the operating system of artificial intelligence, showcases real‑world uses in transportation and finance, and provides an in‑depth analysis of Huawei's MindSpore framework, highlighting its development experience, hardware optimization, deployment flexibility, and enterprise‑grade security features.

AI FrameworkArtificial IntelligenceEnterprise AI
0 likes · 7 min read
Why AI Frameworks Are the Backbone of Modern AI – Spotlight on MindSpore
AI Large Model Application Practice
AI Large Model Application Practice
Dec 2, 2024 · Artificial Intelligence

Master CrewAI: Build Multi‑Agent Systems Quickly with Flows and a Full Demo

This article introduces CrewAI, a high‑level Python framework for constructing multi‑agent systems, explains its core concepts such as Crew, Agent, Tool, Task and Process, walks through a complete demo with code, evaluates its strengths and limitations, and showcases the new Flows feature for more flexible workflow orchestration.

AI FrameworkCrewAIFlows
0 likes · 15 min read
Master CrewAI: Build Multi‑Agent Systems Quickly with Flows and a Full Demo
Alibaba Cloud Native
Alibaba Cloud Native
Oct 18, 2024 · Artificial Intelligence

How Spring AI Alibaba Simplifies Java AI Application Development

This article introduces the open‑source Spring AI Alibaba framework, explains its background, core features such as chat model abstraction, prompt templates, structured output, function calling, RAG and chat memory, and walks through a complete smart‑ticket‑assistant example with code snippets and deployment guidance.

AI FrameworkChat MemoryFunction Calling
0 likes · 17 min read
How Spring AI Alibaba Simplifies Java AI Application Development
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 17, 2024 · Artificial Intelligence

Build AI-Powered Java Apps Fast with Spring AI Alibaba: Features & Demo

Spring AI Alibaba is an open‑source Java framework that integrates Alibaba Cloud's large‑model services with Spring AI, offering high‑level abstractions for chat models, prompts, function calling, RAG, and conversation memory, and includes a complete ticket‑assistant example with code snippets.

AI FrameworkChatbotFunction Calling
0 likes · 17 min read
Build AI-Powered Java Apps Fast with Spring AI Alibaba: Features & Demo
DataFunSummit
DataFunSummit
Sep 15, 2024 · Artificial Intelligence

AgentUniverse: A Multi‑Agent Framework for Financial Scenarios

This article presents Ant Group's agentUniverse framework, detailing its multi‑agent collaborative mechanisms, architectural design, and real‑world financial applications such as AI assistants, ESG analysis, and automated report generation, while addressing challenges of information‑dense, knowledge‑rich, and decision‑critical finance domains.

AI FrameworkFinancial AILarge Language Models
0 likes · 12 min read
AgentUniverse: A Multi‑Agent Framework for Financial Scenarios
iKang Technology Team
iKang Technology Team
Sep 5, 2024 · Artificial Intelligence

What Is LangChain? Overview, Core Advantages, Components, and Use Cases

LangChain is a modular framework that streamlines integration of large language models by providing unified model interfaces, prompt optimization, memory handling, indexing, chains, and agents, enabling developers to quickly build and deploy sophisticated NLP applications such as text generation, information extraction, and dynamic tool‑driven workflows across various industries.

AI FrameworkAgentsChains
0 likes · 6 min read
What Is LangChain? Overview, Core Advantages, Components, and Use Cases
DataFunTalk
DataFunTalk
Jan 29, 2024 · Artificial Intelligence

PAI‑ChatLearn: A Flexible Large‑Scale RLHF Training Framework for Massive Models

The article introduces PAI‑ChatLearn, a flexible and high‑performance framework developed by Alibaba Cloud's PAI team that supports full‑pipeline RLHF training for large models, explains the evolution of parallel training strategies, details the framework’s architecture and configuration, and showcases performance results and practical usage examples.

AI FrameworkDistributed ComputingLarge model training
0 likes · 17 min read
PAI‑ChatLearn: A Flexible Large‑Scale RLHF Training Framework for Massive Models
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Oct 19, 2023 · Artificial Intelligence

Unleashing Game AI: Inside NetEase’s Bray Distributed RL Framework

NetEase’s AI team reveals how their self‑developed distributed reinforcement‑learning platform, Bray, enables high‑level AI agents for the MOBA game Dream of Kingdom 2, covering GameCore integration, weighted random initialization, modular APIs, difficulty scaling, and cost‑effective training for realistic player experiences.

AI FrameworkDistributed TrainingMoBA
0 likes · 9 min read
Unleashing Game AI: Inside NetEase’s Bray Distributed RL Framework
21CTO
21CTO
Oct 8, 2023 · Artificial Intelligence

Why Hugging Face’s New Rust‑Based Candle Framework Could Redefine AI Inference

Hugging Face has released Candle, a Rust‑written machine‑learning framework aimed at serverless inference, offering lightweight binaries, GPU support, and performance gains over Python‑based PyTorch, while sparking debate over Rust’s learning curve and the future of AI deployment.

AI FrameworkCandlePyTorch
0 likes · 7 min read
Why Hugging Face’s New Rust‑Based Candle Framework Could Redefine AI Inference
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 26, 2022 · Artificial Intelligence

Unlocking Vision AI: Inside Alibaba’s EasyCV All‑in‑One Self‑Supervised & Transformer Framework

EasyCV is Alibaba’s open‑source, PyTorch‑based visual modeling platform that unifies self‑supervised learning and Transformer techniques, offering a comprehensive algorithm suite, pre‑trained models, high‑performance training/inference optimizations, extensible architecture, and seamless cloud deployment for a wide range of computer‑vision tasks.

AI FrameworkAlibabaSelf-supervised Learning
0 likes · 16 min read
Unlocking Vision AI: Inside Alibaba’s EasyCV All‑in‑One Self‑Supervised & Transformer Framework
DataFunTalk
DataFunTalk
Apr 14, 2022 · Artificial Intelligence

PaddlePaddle Deep Learning Platform: Architecture, Core Technologies, and Real‑World Applications

The article presents a comprehensive overview of Baidu's open‑source deep learning platform PaddlePaddle, detailing its full‑stack architecture, core technologies such as unified dynamic‑static graph, large‑scale distributed training, multi‑platform inference, an extensive model zoo, hardware adaptation, and showcases a real‑world deployment case in power‑grid monitoring.

AI FrameworkDistributed TrainingPaddlePaddle
0 likes · 15 min read
PaddlePaddle Deep Learning Platform: Architecture, Core Technologies, and Real‑World Applications
JD Retail Technology
JD Retail Technology
Jan 24, 2022 · Artificial Intelligence

Galileo: An Open‑Source Scalable Graph Deep Learning Framework for Industrial‑Scale Applications

Galileo is an open‑source, distributed graph deep‑learning framework that supports ultra‑large heterogeneous graphs, dual TensorFlow/PyTorch back‑ends, and a flexible API, enabling fast prototyping of graph neural networks such as HeteSAGE for real‑world recommendation and other AI scenarios.

AI FrameworkDistributed TrainingGalileo
0 likes · 11 min read
Galileo: An Open‑Source Scalable Graph Deep Learning Framework for Industrial‑Scale Applications
21CTO
21CTO
May 31, 2021 · Operations

How One Engineer Turned Huawei’s MindSpore Community into a Viral Success

This article recounts how a former programmer became a deep‑learning evangelist, built Huawei’s MindSpore open‑source community, leveraged one‑minute videos, launched a hands‑on training camp and a lightweight tool, and fostered a thriving ecosystem that now serves over 190,000 developers.

AI FrameworkCommunity ManagementMindSpore
0 likes · 16 min read
How One Engineer Turned Huawei’s MindSpore Community into a Viral Success
Kuaishou Tech
Kuaishou Tech
Mar 18, 2021 · Artificial Intelligence

Hammer: An Integrated Hardware-Aware Model Compression Framework

Hammer is an integrated hardware-aware model compression tool developed by Kuaishou in collaboration with universities, combining pruning, quantization, search, and distillation to achieve efficient and accurate neural network models tailored to specific hardware.

AI FrameworkKuaishouNAS
0 likes · 9 min read
Hammer: An Integrated Hardware-Aware Model Compression Framework