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TANGO CUSTOM SERVICES

Учасник із 2026

Срібна ліга

Кількість балів: 2005
AI Boost Bites: NotebookLM Video Overviews Earned січ. 25, 2026 EST
AI Boost Bites: "Eat the Frog" with NotebookLM Earned січ. 25, 2026 EST
AI Boost Bites: NotebookLM Mind Maps Earned січ. 25, 2026 EST
AI Boost Bites: NotebookLM Reports Earned січ. 25, 2026 EST
AI Boost Bites: Research Hacks with NotebookLM Earned січ. 25, 2026 EST
AI Boost Bites: NotebookLM for Market Research Earned січ. 25, 2026 EST
AI Boost Bites: NotebookLM for Competitive Edge Earned січ. 25, 2026 EST
AI Boost Bites: Find the Story in Your Data Earned січ. 24, 2026 EST
AI Boost Bites: Customer insights with NotebookLM Earned січ. 24, 2026 EST
AI Boost Bites: Discover Sources in NotebookLM Earned січ. 24, 2026 EST
AI Boost Bites: Project Notebooks Earned січ. 24, 2026 EST
AI Boost Bites: Intro to NotebookLM Earned січ. 24, 2026 EST
Encoder-Decoder Architecture Earned січ. 23, 2026 EST
Introduction to Image Generation Earned січ. 23, 2026 EST
Introduction to Responsible AI - Українська Earned січ. 23, 2026 EST
Introduction to Large Language Models - Українська Earned січ. 22, 2026 EST
Introduction to Generative AI - Українська Earned січ. 22, 2026 EST

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 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 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 NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.

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In this video, you'll learn to use NotebookLM to manage a large-scale research project. You'll see how to upload all your documents to get summaries, ask deeper strategic questions to find key insights, and use the audio feature to listen to your findings on the go.

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This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.

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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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In this video, you'll learn to use NotebookLM to analyze raw data and find compelling stories. You'll see how to ground the AI in your specific documents, prompt it to generate newsworthy PR claims, and ask it to find hidden correlations between different data points to uncover new insights.

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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 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 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 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 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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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.

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У цьому ознайомлювальному курсі мікронавчання ви дізнаєтеся, що таке великі мовні моделі, де вони використовуються і як підвищити їх ефективність коригуванням запитів. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучного інтелекту.

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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке генеративний штучний інтелект, як він використовується й чим відрізняється від традиційних методів машинного навчання. Він також охоплює інструменти Google, які допоможуть вам створювати власні додатки на основі генеративного штучногоінтелекту.

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