1034 related articles

An in-depth look at the core tech behind AI Agents: how the HNSW, IVF, and PQ vector search algorithms power RAG and long-term memory. Understand where a model's "memory" and "knowledge" come from.

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

How much math do you really need before starting ML projects? This article analyzes the 'bottomless pit' trap, proposes a minimum viable math framework, and offers project-driven learning strategies.

Deep dive into an AI persistent RPG game engine built with React SPA and Supabase, exploring how LLMs combine with modern web stacks for cross-session memory, dynamic narrative, and game state management.

TokenTown is an open-source visualization project that intuitively presents the internal token prediction process of LLMs using a town metaphor. Learn its design philosophy and educational value.

A systematic guide to standardized datasets for RAG retrieval experiments, covering BEIR, MS MARCO, Natural Questions, and TREC benchmarks for dense, sparse, and hybrid retrieval evaluation.

A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.

A detailed guide to ComfyUI KREA 2 Identity Edit v1.2 workflow installation and usage, supporting low-VRAM GPUs for identity-preserving editing including pose changes, style transfer, face swap, and virtual try-on.

Reddit user Noniv used Claude Code with the Opus model to build SNOWFLOW, a stunning WebGPU real-time snow renderer, in just 9 hours using 4 million tokens. A deep dive into prompt strategy, snow shaders, and performance optimization.

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Learn about its technical principles, performance gains, and value for long-context training and inference acceleration.

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Explore its technical principles, performance gains, and value for long-context training and inference.

In-depth analysis of AI-driven automated cyberattack trends, exploring LLM weaponization risks, what rogue AI really means, and how enterprises can build AI defense systems against emerging threats.

Deep dive into Project Rai-chan's tech stack: Ollama+Gemma local LLM, Unity rendering, VOICEVOX speech synthesis, and more — exploring the technical path for local AI companions.

A project with 130+ free open-source interactive security awareness exercises using immersive 3D office scenarios to simulate phishing, vishing, MFA fatigue attacks and more, building employee security habits.

A project with 130+ free open-source interactive security awareness exercises using immersive 3D office scenarios to simulate phishing, vishing, MFA fatigue attacks, and more. Fully white-labeled.

Deep analysis of Adam optimizer failure mechanisms in RL and deep Transformer training, revealing the mathematical roots of loss burstiness from second moment estimation, with practical solutions.

Andrew Ng launches LearnVector, using generative AI to deliver one-on-one personalized learning. Explore its core vision, potential capabilities, challenges, and how LLMs can solve education's scalability problem.

Andrew Ng launches LearnVector, leveraging generative AI to create one-on-one personalized learning experiences. Explore its core vision, potential capabilities, challenges, and how LLMs could solve education's scalability problem.

Hubbele is an open-source note-taking app designed for both humans and AI Agents, supporting self-hosted deployment. This article analyzes its Agent-native design philosophy and implications for the future of knowledge management.

Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case study revealing key engineering challenges beyond the model.