Fresh Aigc articles, tutorials, technical notes, and tool updates from StableLearn.
Qwen3.6-27B-MTP-GGUF brings Multi-Token Prediction to local GGUF inference, aiming for faster llama.cpp generation for coding, agents, writing, and private assistants on local hardware.
Jina Embeddings v5 Omni maps text, images, video, and audio into one shared vector space for multimodal search, clustering, recommendation, and RAG retrieval workflows across media.
2026 LLM inference framework guide: vLLM, TensorRT-LLM, SGLang, LMDeploy, oMLX, Ollama, MLC LLM compared. Hardware-to-scenario matching with performance data and real cases.
Tencent Hunyuan HY-MT 1.5 translation model tutorial - upgraded WMT25 champion version supporting 33 languages, 1.8B model matching 7B performance, with deployment code and Docker images
In-depth analysis of Meta's SAM-Audio model vs computer vision SAM. Explore multimodal prompting, audio separation techniques, and practical applications in this cross-modal AI breakthrough.
Overview of Qwen-Image-Edit for image editing: capabilities and principles, quick start with Diffusers and ComfyUI, recommended settings, and FAQs to help you achieve high-quality semantic and appearance edits.
Introducing Google's Gemma 3 QAT: A breakthrough in quantization-aware training that enables edge AI deployment with FP16-level performance at quarter memory usage.
A practical guide for deploying Qwen2.5-7B-Instruct model on a dual-node cluster using SGLang, focusing on high-concurrency enterprise scenarios.
Explore four pillars of modern AI: Agent, RAG, Function Call, and MCP. Learn how these technologies work together to enhance AI capabilities through practical examples and analogies.
Comparing Qwen2.5-Omni and MiniCPM-V (2.8B) local deployment, Analysis of parameters, hardware needs, and optimal use cases.
