16 items
AIA detailed guide to the complete NVIDIA DLI ecosystem for Generative AI and LLMs — from Diffusion Models, RAG Agents, and Agentic AI to Transformer NLP. Analysis of exam content, assessment difficulty, sample questions, exam tips, and a learning roadmap from beginner to professional.
Duy Tran30 min
AIAnthropic has published a 245-page System Card for Claude Mythos Preview — the most powerful AI model ever trained, but NOT released publicly due to its ability to autonomously find zero-days. A detailed analysis of its cyber capabilities, alignment, model welfare, and the remarkable stories from inside.
Duy Tran18 min
AIA comprehensive review of MiniMax — the Chinese AI startup with the world's most complete multimodal ecosystem. From M2.7 (text/code on par with Opus 4.6), Hailuo 2.3 (video), Speech 2.6, to Music 2.6. Analyzes models, products, API, pricing, compares with OpenAI, Google, and Anthropic, and includes a quick-start guide.
Duy Tran25 min
AIGoogle DeepMind launches Gemma 4 — a family of open models ranking
Duy Tran15 min
AI & Machine LearningAn in-depth analysis of AI applications in healthcare — from CNN medical imaging that surpasses specialist physicians, NLP for EHR analysis, drug discovery compressed from 12 years to months, to personalized genomics treatment. Includes real case studies, technical challenges, ethical issues, and a deployment roadmap for Vietnam.
Duy Tran35 min
Comprehensive course on AI Agent Engineering — from Python & ML foundation, NLP & LLMs (LLaMA, Mistral, Qwen, Phi), RAG with Vector DB (FAISS, Milvus, Pinecone), to building AI Agent systems with LangChain, LlamaIndex, CrewAI, LangGraph. Practice Fine-tuning, Prompt Engineering, Tool Calling, Multi-Agent. Deploy production with FastAPI, Docker, Microservices, MLOps, CI/CD on AWS/Azure/GCP. Fully meets AI/ML Engineer recruitment requirements at leading technology companies.
Comprehensive study roadmap for NVIDIA DLI Generative AI courses — from Diffusion Models, RAG Agents, Agentic AI to LLM Evaluation & Fine-tuning. 10 in-depth lessons with hands-on code, coding assessment practice, and sample questions closely matching the real exam.
Comprehensive course on AI in Healthcare — from Medical Imaging with CNN, NLP for medical records, Drug Discovery with GNN, to implementing HIPAA/FDA compliant AI. Practice with Python, PyTorch, Hugging Face, and standard medical datasets such as MIMIC, CheXpert, PubMed.
Comprehensive course on Generative AI for images and video — from GAN, VAE platforms to Stable Diffusion, DALL-E, Midjourney API. Practice image generation, inpainting, style transfer, video generation, and build Generative AI pipeline production-ready with Python, Hugging Face Diffusers, and ComfyUI.
Comprehensive course on Multimodal AI — from Vision-Language Models (CLIP, LLaVA), Visual Question Answering, Image Captioning, to Document AI, Video Understanding. Practice with Python, PyTorch, Hugging Face Transformers, and state-of-the-art models like GPT-4V, Gemini, LLaVA.
Comprehensive course on Natural Language Processing (NLP) — from tokenization platforms, word embeddings, to Transformer architecture, BERT, GPT. Practice text classification, NER, sentiment analysis, machine translation, question answering and build a production-ready NLP pipeline with Python, Hugging Face, and spaCy.
Comprehensive AI for Speech & Audio course — from audio signal processing, Speech Recognition (ASR) with Whisper, Text-to-Speech (TTS) with VITS, Voice Cloning, Speaker Verification, to Music AI. Practice with Python, PyTorch, Hugging Face, librosa, and state-of-the-art models.
A comprehensive course on Time Series AI — from Statistical Methods (ARIMA, ETS), Machine Learning (XGBoost, LightGBM), to Deep Learning (LSTM, Transformer, TimesFM). Application of forecasting, anomaly detection, classification. Practice with Python, statsmodels, scikit-learn, PyTorch, and specialized frameworks.
The series builds an entire AI system for a Fashion & Print-on-Demand platform — from AI Design Generation (Stable Diffusion, ControlNet), AI Editing in natural language, Personalization System, Virtual Try-On with Computer Vision, to Print File Optimization and AI Product Generation. Each article is an independent AI module that can be deployed in production.
Practical course on Computer Vision — from CNN, Object Detection (YOLO), Image Segmentation (SAM) to Vision Transformer and Multimodal AI. Hands-on with PyTorch, Ultralytics YOLO, Hugging Face. Deploy CV model to production with TensorRT and ONNX.
Comprehensive course on Artificial Intelligence and Large Language Models — from Neural Networks platform, Transformer architecture, to Fine-tuning, RAG, AI Agents and production deployment. Learn hands-on with Python, PyTorch, and LLM APIs.