TokenMax vs Machine Learning Engineer Prep

TokenMax is an AI learning lab for your iPhone, built by Vellora AI: a full computer-science curriculum, a real Python environment with auto-graded problem sets, a sandboxed terminal, and a tutor powered by a language model that runs on the phone itself. No accounts, no servers, no telemetry. LEARN AI, CS & PYTHON — 14 FULL COURSES, OFFLINE - Sidebar → Courses bundles 14 university-level open-courseware classes, readable offline, including: • 6.S191 Intro to Deep Learning — transformers, attention, RLHF, generative AI • 6.5940 TinyML & Efficient Deep Learning — quantization, pruning, the methods behind on-device models • 6.0001 + 6.0002 Intro to CS and Data Science in Python • 6.034 Artificial Intelligence, 6.864 Advanced NLP • 18.06 Linear Algebra, 18.065 Matrix Methods, 18.05 Probability & Statistics • 6.006 + 6.046 Algorithms, 6.S081 Operating Systems, 6.824 Distributed Systems - Course materials from MIT OpenCourseWare, used under CC BY-NC-SA 4.0. TokenMax is free and is not affiliated with or endorsed by MIT. Lecture videos link out to ocw.mit.edu. A REAL PYTHON LAB IN YOUR POCKET - Embedded Python 3.13 — write code and run it without leaving the app. - Auto-graded problem sets check your work line by line, with results in seconds. - Built for learning: the interpreter runs only the bundled lessons and the code you type. It never downloads or executes code from the internet, and network access inside the Python sandbox is disabled. - "Python Tutor (OCW 6.0001)" persona — a Socratic tutor that asks leading questions, runs your code through Python before commenting, and refuses to just hand you the answer. TERMINAL & SSH - A real sandboxed shell with twenty-something built-ins (ls, cd, cat, head, tail, grep, find, mkdir, mv, cp, rm, touch, …) operating only on the app's own writable directories. - SSH client in pure Swift. Save hosts in Settings, connect with password or ED25519 / RSA private keys, host-key fingerprint pinning on first connect. - Per-conversation Plan / Execute mode lets the model drive the terminal. Plan mode allows read-only commands; Execute mode requires per-command approval for anything destructive. AN AI THAT NEVER PHONES HOME - A language model ships inside the app — start chatting on first launch, even in Airplane Mode. - Streaming responses, regenerate, edit and re-roll, copy, pin, folders, in-conversation search, export to PDF / Markdown / JSON, share extension. - Sees photos, hears your voice, reads PDFs. Vision-language models run natively on Apple Silicon via mlx-swift: Qwen2.5-VL 7B on iPhone 15 Pro / 16 Pro / 17 Pro, Qwen2-VL 2B on iPhone 13+. Attach a photo while a text-only model is active and TokenMax reads it on-device with OCR instead. - Drop a PDF, .docx, .md or .txt and ask questions about it — retrieval runs locally with Apple's NLEmbedding. - Web search with real source citations, only when you ask for it. - Slash commands: /summarize, /explain, /code, /tldr, /translate, /improve. PRIVACY YOU CAN AUDIT - Your work stays on your iPhone. The only network calls TokenMax can make are optional model downloads, web search you trigger, and SSH connections to servers you've added — and Settings → Privacy & Data lists every one of them: the host, what data leaves, and what triggers it. - Sealed mode hard-blocks all network traffic with one switch. - Versioned in-app Terms and Privacy Policy. REQUIREMENTS - iPhone 13 or newer recommended. Runs on iPad too. iPhone 15 Pro / 16 Pro / 17 Pro for the 7B vision model. - Falcon 3 1B ships pre-installed — no download needed to start. Larger open-weight models are optional downloads that always show their exact size first (Qwen 2-VL / 2.5-VL under Tongyi Qianwen License, Falcon 3 under TII Falcon-LLM License 2.0, Bonsai 8B under Apache 2.0). TokenMax is built by Vellora AI. We don't run a server. We can't read your work because it never reaches us.

Study on your phone. Continue on desktop. Use your phone on the move and a tablet or desktop when you want more room to study. Connect the same StudyCert account to continue your learning in the app and on the desktop web. Prepare for Google Cloud Professional Machine Learning Engineer with 500 practice questions and 110 key terms. Study coverage · 6 areas • Architecting low-code AI solutions • Collaborating within and across teams to manage data and models • Scaling prototypes into ML models • Serving and scaling models • Automating and orchestrating ML pipelines • Monitoring AI solutions 1. Build your foundation with key terms Use flashcards to learn meanings, exam context and selection cues. Mark terms as known or not yet known, then revisit unstudied or unfamiliar cards. Edit card content to suit your learning and restore the original when needed. 2. Practice and understand each answer Study in 50-question sets, by domain or by difficulty. Work through single- and multiple-choice questions, then read the explanation for the answer and each option. Choose all, unfinished or wrong questions; shuffle questions and choices; use a study timer; and resume where you left off. From the results of domain study, continue with key terms and related questions in the next domain. 3. Review mistakes and uncertain concepts Choose recent errors, review marks or repeated mistakes on the Review screen and practice them again. Check accuracy by domain alongside the terms you know or still need to learn. The glossary report shows term-learning status and accuracy on related questions together. 4. Check your preparation with a mock exam Practice time management with 50 questions in 120 minutes. Change answers before submission, resume a saved exam and receive grading when time expires. Afterwards, see correct, wrong and unanswered counts, your score and domain results, then revisit mistakes. This practice feature uses the included questions and does not determine an official exam score or pass result. Tools that fit your study routine Optional audio study reads terms and meanings aloud. Choose whether to include exam context and selection cues, set repeats and pauses, and control playback with the mini player. A study calendar, learning streaks, weekly goals, reminders for unmet goals and light, dark or system themes support your routine. Learning records are managed for each supported language. Some features require paid access. Check the included features and price on the purchase screen. Purchase restoration is supported. This is an independent study aid, not an official, affiliated or endorsed app of any exam administrator or certification body. Exam names and trademarks belong to their respective owners.