#LLM

BA doesn't need to know fine-tuning or embeddings — but needs to write good prompts for daily work and to specify AI features. This guide teaches the RPCF framework: Role, Purpose, Context, Format — how BA designs reproducible, controlled prompts.

Duy TranMay 5, 202610 min

BAs don't need to code AI, but they need to understand enough to write correct requirements and work effectively with the technical team. LLM, RAG, hallucination, confidence scores, and guardrails explained in business language — with real-world examples.

Duy TranMay 5, 202615 min

Anthropic launched Claude Opus 4.7 on April 16, 2026 — the latest flagship AI model with exceptional programming capabilities, 3x higher vision resolution, a new xhigh effort level, and leading agentic performance. A comprehensive review covering benchmarks, real-world feedback, pricing, and a migration guide from Opus 4.6.

Duy TranApril 17, 202620 min

A 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 TranApril 13, 202630 min

Anthropic 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 TranApril 13, 202618 min

A 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 TranApril 13, 202625 min

A particularly eventful week in AI: Microsoft simultaneously launches 3 MAI foundational models (speech, voice, image); H Company's Holo3 achieves 78.85% SoTA on the OSWorld computer use benchmark; Anthropic spends $400M acquiring biotech startup Coefficient Bio and locks OpenClaw out of Claude Code subscription plans.

Duy TranApril 5, 202610 min

Google DeepMind launches Gemma 4 — a family of open models ranking

Duy TranApril 3, 202615 min

Ollama 0.19 integrates Apple's MLX backend — delivering 93% faster decode speed and 57% faster prefill on M5. A comprehensive technical analysis of unified memory architecture, real-world benchmarks across M1 to M5, and a step-by-step setup guide to maximize your Apple Silicon's potential.

Duy TranApril 1, 202618 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.

A hands-on series for building a local AI stack with Gemma 4 on Apple Silicon following engineering best practices. From Ollama setup, API integration, RAG pipeline, hybrid retrieval, to observability and hardening for internal environments.

Comprehensive guide to running LLM locally on Mac Apple Silicon (M1/M2/M3/M4) with Ollama and MLX. From initial installation to 3x acceleration with the MLX framework, managing multiple models, integrating APIs into applications, and optimizing GPU/RAM performance. All hands-on, privacy-first, no internet required.

Comprehensive course on Vibe Coding with GitHub Copilot — from basic concepts to advanced techniques. Learn how to leverage AI Agent, Inline Suggestions, Custom Instructions, MCP Servers, Copilot CLI, and Copilot Coding Agent to accelerate software development. Includes Prompt Engineering for code, security best practices, handling technical debt, building full-stack apps, and professional Vibe Coding processes for production. Updated according to GitHub Copilot 2026 with Agent Mode, Plan Agent, Cloud Agent and the latest features.

In-depth series on Enterprise AI Chatbot Platform system architecture: multi-model gateway, RAG pipeline, agentic architecture (multi-agent orchestration, tool calling, planning & reflection), conversation memory, streaming & voice, guardrails & safety, multi-channel deployment, multi-tenant architecture, analytics & observability, evaluation & optimization, GPU infrastructure & model serving. Build an enterprise-level chatbot platform from A-Z, ready for production.

Comprehensive course on Prompt Engineering — from writing basic prompts to Chain-of-Thoughts, Tree-of-Thoughts, Multimodal Prompting and building a Prompt Library for production. The most essential skill in the AI ​​age, immediately applicable to ChatGPT, Claude, Gemini.

In-depth course on Retrieval-Augmented Generation (RAG) — techniques for connecting the LLM to your own data. From basic RAG to Graph RAG, Agentic RAG, Multimodal RAG. Hands-on with ChromaDB, Qdrant, LangChain, LlamaIndex. Deploy "Chat with Documents" to production.

Comprehensive course on Fine-tuning Large Language Models — when to fine-tune, data preparation, fine-tuning on Google Gemini/Vertex AI, OpenAI, and open-source (LoRA/QLoRA). Compare Fine-tuning vs RAG, model evaluation methods, and production deployment. Calculate actual costs.

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.