Tagged articles

AI workflow

112 articles · Page 2 of 2

Apr 17, 2025 · Artificial Intelligence

LangGraph Explained: Advanced AI Workflow Framework and Hands‑On Guide

This article introduces LangGraph, the next‑generation framework built on LangChain for constructing complex, stateful AI applications, compares it with LangChain, showcases real‑world deployments, and provides a step‑by‑step Python tutorial for building a smart customer‑service chatbot with looped reasoning, tool integration, and human‑in‑the‑loop support.

AI workflowAgentChatbot

0 likes · 20 min read

LangGraph Explained: Advanced AI Workflow Framework and Hands‑On Guide

DataFunTalk

Mar 27, 2025 · Artificial Intelligence

OpenAI Adds MCP Support to Agents SDK, Advancing Standardized AI Workflows

OpenAI has updated its Agents SDK to support Anthropic's Model Context Protocol (MCP), enabling developers to connect AI agents with diverse data sources and tools through a standardized interface, while providing official documentation, example code, caching, and tracing features to streamline AI workflow integration.

AI workflowAgents SDKMCP

0 likes · 8 min read

OpenAI Adds MCP Support to Agents SDK, Advancing Standardized AI Workflows

Huolala Tech

Feb 27, 2025 · Artificial Intelligence

How Huolala’s Wukong Platform Solves Large‑Model Deployment Challenges

Huolala’s Wukong platform tackles the common “technology hype, implementation difficulty” dilemma of generative AI by unifying multimodal enterprise knowledge, enabling dynamic multi‑agent workflows, and providing low‑code tools, observability, and stable deployment across dozens of business scenarios.

AI workflowEnterprise AIMultimodal AI

0 likes · 11 min read

How Huolala’s Wukong Platform Solves Large‑Model Deployment Challenges

Code Mala Tang

Feb 25, 2025 · Artificial Intelligence

How Resources, Tools, and Prompts Power LLM Super‑Agents

This article explains how the Resources data hub, Tools capability engine, and Prompts interaction templates work together to create a secure, extensible workflow that enables large language models to ingest data, execute tasks, and generate structured outputs.

AI workflowLLMPrompt templates

0 likes · 5 min read

How Resources, Tools, and Prompts Power LLM Super‑Agents

Programmer DD

Jan 20, 2025 · Artificial Intelligence

Build Your First AI‑Powered WeChat Mini‑Program with Coze in One Click

This step‑by‑step guide shows how to use Coze’s AI application development features to create, test, and publish a no‑code WeChat mini‑program that generates avatars, covering app creation, workflow design, UI building, online debugging, and one‑click deployment.

AI ApplicationAI workflowCoze

0 likes · 8 min read

Build Your First AI‑Powered WeChat Mini‑Program with Coze in One Click

Code Mala Tang

Sep 12, 2024 · Artificial Intelligence

Unlocking LangChain.js: The Swiss Army Knife for LLM Applications

This article introduces LangChain.js, explains its origins, core concepts such as chats, templates, tools, and chains, demonstrates practical JavaScript code examples, and explores the LangChain Execution Language (LCEL) for building flexible, conditional AI workflows.

AI workflowLCELLLM

0 likes · 17 min read

Unlocking LangChain.js: The Swiss Army Knife for LLM Applications

Code Mala Tang

Sep 7, 2024 · Artificial Intelligence

Unlocking LangChain.js: The Swiss Army Knife for LLM Applications

This article introduces LangChain.js, its core concepts such as chats, templates, tools, and chains, demonstrates how to use LCEL for flexible workflow composition, and shows practical JavaScript code examples for building AI-powered applications with large language models.

AI workflowLCELLLM

0 likes · 17 min read

Ant R&D Efficiency

Nov 21, 2023 · Artificial Intelligence

Can AI Code Completion Transform Java Development? One Engineer’s Journey

Java engineer Wu Ming shares his experience with CodeFuse, an AI-powered code completion tool, describing how large language models enhance coding efficiency, the challenges of early versions, practical tips for integrating AI assistants into workflows, and his vision for AI’s expanding role across the entire software development lifecycle.

AI code assistantAI workflowCodeFuse

0 likes · 12 min read

Can AI Code Completion Transform Java Development? One Engineer’s Journey

Baidu Intelligent Cloud Tech Hub

Dec 14, 2022 · Artificial Intelligence

How Cloud‑Native AI Boosts Resource Efficiency with PaddleFlow

This article explains how cloud‑native AI leverages container‑based architectures and advanced scheduling algorithms—such as resource queues, gang scheduling, bin‑packing, GPU topology‑aware and Tor‑aware dispatch—to improve resource and engineering efficiency, and introduces Baidu’s AI workflow engine PaddleFlow with its design, features, and deployment options.

AI workflowCloud Native AIGPU virtualization

0 likes · 25 min read

How Cloud‑Native AI Boosts Resource Efficiency with PaddleFlow

DataFunTalk

Nov 19, 2021 · Artificial Intelligence

Industrial Intelligence: Current Status, Talent, Challenges, and AI Application in Manufacturing

This article examines industrial intelligence from the perspectives of flow and fusion, detailing its current state, talent needs, pain points, AI development processes, edge‑cloud architecture, and key characteristics such as timeliness, reliability, explainability, and applicability in manufacturing.

AI workflowdata scienceedge computing

0 likes · 22 min read

Industrial Intelligence: Current Status, Talent, Challenges, and AI Application in Manufacturing

AntTech

Jul 10, 2020 · Artificial Intelligence

SQLFlow: End‑to‑End AI Workflow Construction Using SQL

SQLFlow is an open‑source system that lets users describe and execute end‑to‑end AI tasks—including data extraction, preprocessing, model training, evaluation, prediction, and explanation—entirely with SQL, simplifying workflow construction across multiple databases and machine‑learning engines while supporting scalable execution on Kubernetes.

AI workflowKubernetesSQL

0 likes · 19 min read

SQLFlow: End‑to‑End AI Workflow Construction Using SQL

JD Tech Talk

Feb 13, 2020 · Artificial Intelligence

Full-Process Traceability Management for Machine Learning Models: Challenges, Methods, and Solutions

This article analyzes the challenges of managing the entire machine‑learning lifecycle, reviews existing traceability approaches, and proposes comprehensive methods for versioned management of model training, prediction, and online service to improve efficiency, reproducibility, and maintenance of AI systems.

AI workflowModel DeploymentTraceability

0 likes · 18 min read

Full-Process Traceability Management for Machine Learning Models: Challenges, Methods, and Solutions