59 related articles

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

A comprehensive decision framework for production LLM deployment: model selection (open-source vs. API), GPU VRAM configuration, and inference engine comparison including vLLM and TensorRT-LLM.
6 Months Left for Open Source AI? A De…
Is open source AI really running out of time? This deep dive examines the compute gap, capability lag, and licensing risks threatening open source LLMs — and the paths forward.

VersatIL is a modular PyTorch framework for robot imitation learning that decouples data, network architecture, algorithm, and objective. Supports ACT, Diffusion Policy, pi0, and LeRobot format.

Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.
Mesh LLM: A Practical Exploration of B…
Mesh LLM leverages the Rust P2P framework iroh to integrate compute from scattered nodes, exploring a viable path for decentralized LLM inference. This article analyzes its architecture, challenges, and prospects.

ostris releases the Krea 2 Turbo Style Reference LoRA, supporting single or multi-image style extraction for precise AI style transfer. Open-source, free, and locally deployable.

Running self-supervised vision models (SSL) on a MacBook CPU isn't hard. This article reveals the core misconception of PCA visualization through ViT-S experiments: colors can't convey semantics across images, and changing resolution reverses hues entirely.

Should full-stack developers learn machine learning? This article analyzes the difference between applied ML and research ML, breaks down the ROI at each stage, and offers a concrete action path.

A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.

An in-depth analysis of the vLLM inference framework's core principles: from the meaning of throughput (tokens/s), to the bottlenecks of autoregressive generation, to KV Cache, PagedAttention, and continuous batching.

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

IMGNet is a face verification model by an independent Indonesian researcher that replaces cosine similarity with sliding window sign pattern matching. At just 10.58MB, it outperforms cosine on LFW and other benchmarks, introducing metric-loss co-design.

IMGNet is a 10MB face verification model replacing cosine similarity with sliding window sign pattern matching. Sign metrics outperform cosine on LFW and other benchmarks, suggesting sign consistency may be intrinsic to quality face embeddings.

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.

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.

An in-depth hands-on review of Zhipu AI's flagship GLM-5.2: 1M-token context, strong coding, mature agent workflows—at one-fifth the price of top frontier models. Covers website testing, Cursor integration, MCP tooling, and production migration.

Unsloth v0.1.46-beta is out with key DiffusionGemma changes: tool calling disabled by default, artifacts canvas enabled. A deep dive for LLM fine-tuning devs.

A beginner's guide to the LangChain open-source framework: explaining how to use the init_chat_model unified interface, tips for disabling DeepSeek's thinking mode, and core essentials of Agent development.

Unsloth v0.1.47-beta is out. This 67.9k-star open-source framework fine-tunes Llama, Mistral, and Qwen 2x faster with 70% less VRAM on consumer GPUs.