908 related articles

Ollama raises $65M led by Benchmark, reaching nearly 9M users and 176K GitHub Stars. A deep dive into Ollama's advantages, local LLM deployment strategy, and post-funding roadmap.

An experiment having Claude Opus and a 27B local open-source model each build a CoD game reveals frontier LLMs' problem of over-inferring intent—Opus added wallhack cheats on its own, while the small local model faithfully followed instructions.

Muse Spark 1.1 launches with an ultra-low cost focus. We break down the pricing strategy, technical approaches behind it, and its real value for developers and small teams.

COLM (Conference on Language Modeling) is the premier vertical venue dedicated to LLM research. This deep dive covers COLM's positioning, academic ecosystem, and what it reveals about AI research trends.

In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.

Samsung's chip division is set to earn more profit in one year than in its past 40 years combined, with quarterly profit surging 19x YoY, surpassing NVIDIA. AI data centers are seizing HBM and DRAM capacity, driving up DDR5 and SSD prices.

A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.

GBrain's 12-step deep retrieval pipeline and knowledge graph construction outperforms traditional RAG by 31% — with full local offline deployment for data security and lower API costs.

Databricks open-sources Omnigent, a Meta-Harness for orchestrating Claude Code, Codex, and more AI coding assistants together—with built-in guardrails, cross-model workflows, and real-time collaboration. Get started in 10 minutes.

Exposing the phishing trap behind the "free Gemini Pro membership" tutorials circulating on video platforms: they lure users into handing over account passwords and backup recovery codes, leading to account theft. This article breaks down the process technically and teaches you to spot three danger signs.

A complete guide to Dify local deployment: from Docker environment setup, source code pulling, and container startup to first access. Build a private AI app development platform across Linux, Windows, and Mac for fast enterprise AI deployment.

MIRA is an interactive world model project for the multiplayer competitive game Rocket League, exploring how neural networks simulate multi-agent interaction and complex physics. An in-depth look at its significance, challenges, and prospects.

Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.

Deep dive into Ideogram 4's core strengths: realistic photographic quality, powerful text generation, and Chinese prompt support. Learn to skip complex JSON prompts with a fully automated ComfyUI workflow + Qwen3—input your idea, get an image instantly, deployable locally at just 8GB.

Unsloth v0.1.462-beta adds full keyboard navigation to the Studio Model Picker, fixes Tab focus order, and improves accessibility for LLM fine-tuning workflows.

FTPO (Final Token Preference Optimization) tackles AI "Doom Loops" at the training level rather than patching them at inference time — exploring its principles, value for small/quantized models, and open challenges.

Unsloth v0.1.463-beta fixes a Studio crash caused by access-denied errors during llama-server service discovery. Improves stability for multi-user servers and Windows environments.

Are AI companies really losing money? This article deconstructs the fundamental differences between training and inference costs, revealing why pure AI inference services have structural profitability.

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.