1140 related articles

Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.

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.

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.

Starting from a viral Reddit meme, we dive deep into AI neural network weights — what they are, why they can't be read visually, and how open weights drive technological democratization.

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.

Analysis of why AI Agents can't reliably follow long policy documents, covering context dilution, rule conflicts, and soft constraint limitations, with more reliable governance architectures.

Exploring IBM's perspective on AI curbing software engineering knowledge decay, analyzing AI's role in code comprehension, decision recording, and knowledge retrieval, plus how enterprises can build the right habits around AI.

An indie dev built a 130+ card multiplayer CCG entirely through vibecoding with Claude Code, GPT, and ElevenLabs. Full AI tech stack breakdown and analysis of vibecoding's capabilities and limits.

Deep dive into an 11-node Agentic RAG agent built with LangGraph, featuring 6-way intelligent routing, hallucination guards, PII masking, circuit breakers, and zero-cost deployment.

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.

SteVe is an open-source OCPP-based charging station management system that grew from a 2013 PhD project into an OCA-certified charging platform core, offering self-hosted EV charging management.

GitHub Trending July 29: Microsoft's VibeVoice leads voice AI open-source wave, MoonshotAI's FlashKDA CUDA kernel surges 25%, and open-source alternatives rise.

More people are yelling at ChatGPT out of frustration. This article explores the psychology behind it and shares effective AI communication strategies for better results.

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.

How can DevOps engineers efficiently transition to MLOps? This guide covers MLOps core concepts, standard workflows, essential tools, and Azure practices with a progressive learning roadmap.

More people are scolding ChatGPT out of frustration. This article analyzes why from psychology and tech perspectives, and shares smarter AI communication strategies.

Google signs a $1B+ dark fiber deal with Verizon to interconnect data centers for AI training and inference. Verizon launches AI Connect, converting central offices into edge compute nodes.

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.