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Kevin Wang

Member since 2023

Gold League

6466 points
AI Boost Bites: Email Content Creation Earned Oct 2, 2025 EDT
AI Boost Bites: Create Docs in Seconds Earned Oct 2, 2025 EDT
AI Boost Bites: AI Power-Ups for Google Workspace Earned Sep 30, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI Earned Sep 29, 2025 EDT
AI Boost Bites: Gemini Slide Summaries Earned Sep 29, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM Earned Sep 29, 2025 EDT
AI Boost Bites: Discover Sources in NotebookLM Earned Sep 27, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems Earned Sep 26, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned Sep 26, 2025 EDT
AI Boost Bites: Tame Your Inbox with AI Earned Sep 26, 2025 EDT
AI Boost Bites: Intro to NotebookLM Earned Sep 21, 2025 EDT
AI Boost Bites: NotebookLM Mind Maps Earned Sep 21, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM Earned Sep 20, 2025 EDT
AI Boost Bites: NotebookLM for Competitive Edge Earned Sep 20, 2025 EDT
AI Boost Bites: NotebookLM Video Overviews Earned Sep 20, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned Sep 20, 2025 EDT
AI Boost Bites: Content Generation with Gemini Made Easy Earned Sep 20, 2025 EDT
AI Boost Bites: Personalization with customized prompts Earned Sep 17, 2025 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned Sep 17, 2025 EDT
AI Boost Bites: Project Notebooks Earned Sep 17, 2025 EDT
Introduction to Vertex AI Studio Earned Jun 20, 2025 EDT
Attention Mechanism Earned Jan 1, 2025 EST
Encoder-Decoder Architecture Earned Aug 2, 2024 EDT
Introduction to Responsible AI Earned Jul 25, 2024 EDT
Introduction to Image Generation Earned Jul 25, 2024 EDT
Introduction to Large Language Models Earned Jul 25, 2024 EDT
Introduction to Generative AI Earned Jul 17, 2024 EDT

This video covers how to use Gemini in Gmail to draft new emails, refine their tone, respond with context from Drive files, and use smart reply suggestions.

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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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This video will cover how to leverage Gemini Gems to create authentic social media posts in your leader's unique voice. Learn to overcome the challenge of scaling executive social presence by training a Gem with writing samples and clear instructions. Discover how to generate engaging posts quickly, saving time while amplifying thought leadership and ensuring authenticity.

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This video covers how to use Gemini in Slides to automatically generate meeting recaps and draft follow-up emails, which can streamline your post-meeting workflow and save you time.

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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.

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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.

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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.

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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.

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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.

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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.

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This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.

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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!

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This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.

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This video covers how to personalize your Gemini results in Google Workspace. Learn to incorporate documents and research papers directly into your prompts using the "@" symbol to get more targeted and relevant AI output tailored to your needs.

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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.

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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.

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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.

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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

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