2361 related articles

A deep dive into distributed AI systems engineering: data/model/tensor parallelism for training, KV cache, quantization, elastic scaling for inference, and cloud deployment with Kubernetes, Ray, and DeepSpeed.

From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.

Confused about breaking into AI LLMs? This guide breaks down the two core career tracks — Engineering & Deployment vs. Algorithm Research — covering RAG, Agents, and more.

Exploring the core challenge of reconstructing 3D meshes from normal maps—handling depth discontinuities. Learn how per-pixel weights enable natural surface breaks and examine unresolved issues in fine structure reliability and absolute scale calibration.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

In-depth analysis of two mainstream approaches for RGB and thermal camera image registration: homography via feature matching and stereo calibration with image rectification, covering cross-modal principles and engineering trade-offs.

Exploring depth discontinuity handling in 3D mesh reconstruction from normal maps. Learn how per-pixel weights let surfaces naturally break apart, avoiding geometric errors from forced integration.

Through a real game AI navigation case, this article deeply analyzes why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

Deep analysis of the SDL_GPU single-header 2D graphics library covering its design philosophy, GPU acceleration principles, use cases, and technical trade-offs.

Deep dive into why Word2vec can't handle OOV words, explaining the lookup table mechanism and covering solutions like FastText subwords, UNK tokens, and BERT.

Through a real game AI navigation case, we deeply analyze why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

CraftStory is a lightweight AI human video tool supporting single-image video generation and 15-second custom avatars at just 4.5 cents per second, built on licensed actor data.

Deep dive into an open-source Go SDK for building streaming LLM backends, covering streaming responses, tool-calling architecture, and companion React library for end-to-end integration.

In-depth analysis of core differences between LangChain and LangGraph, exploring why more teams are migrating to LangGraph for production AI apps, with framework selection guidance.

In-depth analysis of LangChain vs LangGraph differences, why teams are migrating to LangGraph for production AI apps, and framework selection guidance based on project complexity.

Greplica is an open-source self-updating Wiki for coding agents that automatically extracts decisions, constraints, and gotchas from sessions, enabling shared codebase memory across agents and developers.

Greplica is an open-source self-updating wiki for coding agents that auto-extracts decisions, constraints, and gotchas from sessions, enabling shared codebase memory across agents and developers.

tinbase compresses Supabase's 12 Docker containers into a single process with real Postgres 17, Auth, Storage, and Realtime, supporting RLS and direct supabase-js calls—even runs in a browser.

Task Monki is an open-source desktop app that lets coding agents handle the full dev workflow from task planning to Pull Request, with multi-agent parallel execution, code review, and collaborative discussion.