121 related articles

Zhipu GLM-5.2 launches with tiered thinking and long-context support, while Anthropic faces rare U.S. export controls over AI security vulnerabilities. Full breakdown.

A tweet about "live streaming reading a book aloud" reflects the deep dilemma of content creators in the attention economy. This article explores the revival of slow content, the irreplaceability of the human voice in the AI era, and lessons on content differentiation.

How does AI Agent automate TV subtitle workflows end-to-end? This demo covers audio extraction, ASR, timestamp sync, and line optimization — GLM5 processes a 26-min video in just 10 minutes.

Build an AI Agent from scratch — no frameworks. Deep dive into Function Call schema design, MCP remote mirroring, dual-model routing, and short-term memory management.
The Anti-Slop Fiction Contest: How to …
A fiction contest challenging AI writing 'slop' sparks industry reflection. Learn what AI slop is, why it happens, and how prompt engineering can help AI write with genuine soul.
CLAP for Mechanical Fault Sound Recogn…
Explore how CLAP (Contrastive Language-Audio Pretraining) enables mechanical fault sound recognition via zero-shot classification, domain adaptation challenges, and industrial predictive maintenance applications.
The Diffusion Model Revolution: The Ne…
Former Meta Llama lead Sergey Edunov joins Genesis Molecular AI, betting on diffusion models for drug discovery. PEARL achieves zero-shot top results on OpenBind.

A complete learning roadmap for AI large model development — covering Transformer, Prompt Engineering, RAG, LangChain, Agent development, fine-tuning, and deployment.

A deep dive into AI Agent's two core directions: 2C content generation (text/images/video) and 2B enterprise applications (RAG/AutoGen/LLM integration). With real startup cases and practical methods.

Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.

Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.

A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.

GPT Image 2 hands-on review: near-flawless poster text layout and automatic character breakdown with Chinese annotations. Deep analysis of core capabilities, comparison with Nano Banana, and risk assessment for access channels.

Deep analysis of multi-agent system cost optimization: why the 'expensive commander + cheap workers' combination outperforms all-frontier fleets, covering decision-intent cost logic and Sonnet 5 tokenizer traps.

AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.
Developer's TTS API Selection Guide: O…
Deep comparison of TTS APIs: OpenAI, ElevenLabs, xAI Grok, and Cartesia — covering audio quality, latency, pricing, voice cloning policies, and AI Gateway architecture to help developers find the right fit.

Step-by-step guide to deploying Dify locally using BT Panel, covering VM setup, Ubuntu configuration, and Docker deployment for a private AI dev platform.

A practical LangGraph.js guide for frontend engineers covering LangGraph vs LangChain comparison, workflow vs general-purpose agent types, and layered Agent architecture design.

In-depth comparison of four Java AI frameworks — Spring AI, LangChain4J, DJL, and JBot AI — covering features, use cases, and ecosystem compatibility to guide your selection.

A complete learning path for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects across four stages.