438 related articles
TutorialsUnsloth is an open-source LLM fine-tuning tool with 63K GitHub stars, supporting Gemma 4, Qwen3, and DeepSeek. It achieves multi-fold training speedup and 60% VRAM reduction through kernel optimization, enabling fine-tuning on consumer GPUs.
Product ReviewsDeep dive into Tencent Music's open-source Cube Studio cloud-native AI platform, covering Notebook development, Pipeline orchestration, distributed training, LLM fine-tuning, inference deployment, and domestic hardware adaptation for full MLOps lifecycle.
Product ReviewsDeep dive into the GitHub 8000+ star project awesome-LLM-resources, covering LLM training, multimodal generation, AI Agents, MCP protocol, AI-assisted coding, and more for developers.
Deep DivesDiscover AI-fundermentals, an open-source project covering GPU architecture, CUDA programming, LLM fundamentals, and AI Agents in one systematic knowledge base.
Deep DivesExplore Hugging Face Transformers, the 160K-star open-source AI framework powering text, vision, audio, and multimodal models with elegant APIs and massive community support.
Product ReviewsExplore Hugging Face Transformers, the 160K-star open-source framework for AI models covering text, vision, audio, and multimodal with unified APIs.
Product ReviewsDeep dive into Cube Studio, Tencent's open-source cloud-native AI platform covering the full MLOps lifecycle from data labeling to large model training and inference deployment.
Product ReviewsDeep dive into Tencent Music's open-source Cube Studio cloud-native AI platform, covering distributed training, LLM fine-tuning, vLLM inference, VGPU virtualization, and Huawei Ascend adaptation.
Product ReviewsDeep dive into GitHub's 8000+ star project awesome-LLM-resources, covering AI Agents, model training, MCP protocol, multimodal generation and more across 10 core LLM directions.
Product ReviewsDeep dive into the 8,200-star awesome-LLM-resources GitHub project covering the full LLM lifecycle: data processing, training, inference, Agents, multimodal, and more.
Product ReviewsDeep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, large model fine-tuning and inference, Pipeline orchestration, VGPU virtualization, and Huawei Ascend support for enterprise cloud-native MLOps.
TutorialsDeep dive into Hugging Face Transformers: core features, multi-framework support, 500K+ pretrained models, full-modality task coverage, and hands-on code examples to build AI apps efficiently.
Product ReviewsUnsloth is an open-source LLM fine-tuning tool with 63K+ GitHub stars. Fine-tune Gemma 4, Qwen 3, DeepSeek on a single RTX 3090 with 70% less VRAM, 2-5x faster training, and an intuitive Web UI.
TutorialsDeep dive into Ollama: run DeepSeek, Qwen, Kimi-K2.5 and more locally with one command. Covers installation, model ecosystem, architecture, and use cases for local LLM deployment.
TutorialsDeep dive into the Hugging Face Transformers framework: core features, multimodal support, Pipeline & Trainer APIs, ecosystem integration, and how this 160K-Star library powers modern AI development.
Product ReviewsDeep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, LLM fine-tuning, inference deployment, VGPU virtualization, and domestic hardware support for enterprise MLOps.
Product ReviewsDeep dive into Hugging Face Transformers: technical architecture, four modality support, Pipeline API usage, and Hub ecosystem integration. Learn how this 160K-Star project became essential for AI developers.
Product ReviewsDeep analysis of the GitHub project awesome-LLM-resources covering LLM training, inference, Agent, MCP, multimodal, small language models, o1 reasoning and more — an 8200+ Star one-stop LLM resource guide.
Product ReviewsDeep dive into Hugging Face Transformers: core architecture, Pipeline API, model fine-tuning, and multimodal support. A practical guide to the 160K-star AI framework.
TutorialsDeep analysis of the awesome-LLM-resources GitHub project (8200+ Stars), covering multimodal models, AI Agents, MCP protocol, model training & inference, and AI-assisted programming.