Zao Yang
@zaoyang
Owner of \newline and previously co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap). Self-taught in gaming, crypto, deep learning, now generative AI. Newline is used by 250,000+ professionals from Salesforce, Adobe, Disney, Amazon, and more. Newline has built editorial tools using LLMs, article generation using reinforcement learning and LLMs, instructor outreach tools. Newline is currently building generative AI products that will be announced soon.
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articles
Distributed LLM Inference on Edge Devices: Key Patterns
Distributed LLM inference lets large language models run across multiple edge devices like smartphones, IoT sensors, and smart cameras. By splitting the model into smaller parts, each device processes specific sections, reducing the need for cloud-based infrastructure and keeping data local. This…Nov 22nd 2025Fine-Tuning AI for Industry-Specific Workflows
Fine-tuning AI transforms general-purpose models into tools tailored for specific industries like healthcare, finance, and manufacturing. By training models on targeted datasets, businesses can improve accuracy, comply with regulations, and reduce costs. Key insights include: Fine-tuning adjusts a…Jan 22nd 2026A How to Guide: Prompt Engineering for Reasoning Models
In our previous article on prompt engineering, we covered the basics of prompt engineering, the difference between reasoning and non-reasoning (traditional) models, and how to prompt traditional models. Today we’re going to focus on reasoning models like DeepSeek-R1 and OpenAi’s o1. To recap a…Feb 24th 2025
A How-to Guide: Prompt Engineering for Traditional Models
In a relatively short space of time, Large-Language Models (LLMs) seemingly took over everything. You can’t throw a rock without hitting a workflow that’s been altered by the ubiquity of chatbots - everything from coding with AI assistants to healthcare, energy, and even the service sector have…Feb 20th 2025
Jailbreaking DeepSeek R1: Bypassing Filters for Maximum Freedom
Large language models (LLMs) are very powerful tools that can help us with a wide range of tasks. These models are usually built with safety features meant to stop them from generating harmful, inappropriate, or otherwise restricted content. However, over time, researchers and enthusiasts have…Mar 25th 2025
MCP Explained: Taking Your AI Agents to New Heights
If you’re into AI agent development, you’ve probably started hearing more and more about a new emerging protocol – Model Context Protocol (MCP). In essence, this protocol simplifies how AI agents connect to the data and tools they need. By standardizing these connections, MCP reduces the extra work…Mar 17th 2025
How To Set Up Auth and Store User Data With Bolt + Supabase
Welcome! This is part 4 of our course on how to build fullstack apps with Bolt and Supabase If you’re just joining, I highly recommend you take the course in the correct order before diving into this one. Here you can find Part 1, Part 2, Part 3.Mar 17th 2025
Inside AI Agents: Core Principles and How They Remember
As AI continues to evolve, we’re constantly finding new ways how to improve and to use it. Today, AI has gone much further being just a chat tool. And one of these significant evolutionary steps is the creation and adoption of AI agents. With agents, you can deploy AI solutions that autonomously…Mar 17th 2025
How To Deploy Your Web App With Netlify
Welcome! This is the sixth and final lesson on how to build fullstack apps with Bolt and Supabase If you’re just joining, you’re in luck, ‘cause we already have tons of content for you to enjoy while turning your app from just an idea to deployed web application in just an afternoon. Before you…Mar 27th 2025
Unlocking Cursor: Your Beginner's Guide to the AI-Powered IDE
Welcome to our opening article about Cursor (AI IDE). In this article, we would cover all the basic and core knowledge that you need to know about it. And which you would be using most of the time. We’ll do it in depth, without cutting any corners! And in our next article, we'll get into even more…Feb 6th 2025
How To Build Beautiful, Responsive UIs in Minutes With Bolt
Welcome! This is part 5 of our course on how to build fullstack apps with Bolt and Supabase If you’re just joining, I highly recommend you take the course in the correct order before diving into this one. Here you can find Part 1, Part 2, Part 3, and Part 4.Mar 19th 2025
What Is Supabase And How It Can Replace Your Entire Backend
Welcome to the second lesson of our course on how to build complete fullstack apps in less than an afternoon with bolt + supabase. If you haven’t yet, I highly suggest you check out Part 1 before diving in, where we talked all about the ‘what’, ‘why’, and ‘how’ of Bolt and briefly the future of AI…Mar 12th 2025RAG: Bridging the Gap Between AI and Real-Time Data
Today we often hear about incredible AI advancements that promise to make our lives easier. But besides developing and improving new AI models, we also find new ways to use them and utilize their full potential. One exciting feature of LLMs AI Retrieval-Augmented Generation, or RAG for short. This…Feb 21st 2025
How To Build Complete Fullstack Apps In Less Than An Afternoon With Bolt + Supabase
What if I told you that 2-3 hours from now you could have taken your app idea and transformed it into a beautiful, production-level full stack application, deployed and available on the internet, for everyone to use? If I told you something like this a couple of years ago, you’d laugh and scoff and…Mar 14th 2025
How To Build A Fullstack App MVP in An Hour With Bolt
Hello and welcome! This is the 3rd lesson in our series about how to build complete fullstack applications in less than an afernoon with Bolt and Supabase. In the first 2 lessons, we talked about what exactly is Bolt in the first place, and what’s Supabase. If you want to read those first, here is…Mar 14th 2025
Build a Web App with Just a Prompt: Vercel’s v0 Explained
Imagine a world where you could build an entire web application simply by describing it. Well, it’s not a fantasy anymore. Here, I’ll show you how Vercel’s v0 has revolutionized web development. By the end of this article, you’ll learn how to turn your written ideas into production-ready web…Feb 12th 2025
DeepSeek-R1 from A-to-Z
Welcome to the LLM model that's been absolutely everywhere on the Internet and news headlines in recent days – DeepSeek-R1! In this article, we take a comprehensive look at this new, industry-disrupting LLM. We'll investigate if it’s truly deserving of all the noise around it, or if there's…Feb 4th 2025
Next-Level Cursor: Cmd+K, Composer, and Agent Unpacked
In this article, let’s continue to explore Cursor even further. Our first article (which you can find here) covered Cursor’s basics and the easiest-to-understand features, such as Rules for AI, Tab autocompletion and the Chat feature. So, if you’re new to Cursor, I highly recommend you check the…Mar 20th 2025
courses
Power AI course
Advanced Context Engineering is the spine of this course: you are not just learning prompts, you are learning a full context stack that runs from tokens and embeddings through attention, synthetic data, evaluation, and RAG. We start at the numerical layer (vectors, tensors, neural networks, attention) then climb up through tokens, embeddings, multimodal representations, and transformer internals so you see exactly how context is encoded, routed, and used for prediction. On top of that foundation you learn how to design prompts as controllable programs, generate and curate synthetic data, apply axial coding and LLM-as-judge evaluation to detect failure patterns, and build RAG systems that act as real search indices across vector databases, APIs, SQL, and the web. By the end, you have a rare, end-to-end context engineering skill set: you know how to shape model behavior with prompts, stress-test it with synthetic data, debug it with evaluations, and wrap it in advanced RAG so that you can plug everything into a full-stack AI system for real products. This depth and sequencing of content is usually scattered across research papers, internal company docs, and niche talks, but here it is integrated into one coherent stack that is very hard to find in a single course.Nov 27th 2025
AI Accelerator
Land an AI engineering role in as little as 90 days, without going back to school, grinding through YouTube tutorials, or needing any prior AI experience. We build your personalized roadmap, help you build a production-grade portfolio, apply for jobs on your behalf, and prep you for interviews, all the way through to a signed offer. If you don't land a role within 6 months of us starting to apply on your behalf, you get 100% of your tuition back.Jul 11th 2025
AI bootcamp 2
This advanced AI Bootcamp teaches you to design, debug, and optimize full-stack AI systems that adapt over time. You will master byte-level models, advanced decoding, and RAG architectures that integrate text, images, tables, and structured data. You will learn multi-vector indexing, late interaction, and reinforcement learning techniques like DPO, PPO, and verifier-guided feedback. Through 50+ hands-on labs using Hugging Face, DSPy, LangChain, and OpenPipe, you will graduate able to architect, deploy, and evolve enterprise-grade AI pipelines with precision and scalability.Aug 12th 2025
books
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