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Скачать или смотреть Create a Podcast in Minutes with AI: Genius Hacks Using NotebookLM!

  • Unbreak My Art
  • 2024-10-23
  • 31
Create a Podcast in Minutes with AI: Genius Hacks Using NotebookLM!
Notebook LM tutorialAI content creationcreative AI toolsaudio overviewmultimedia notebooksdata analysis toolsartificial intelligence for creativesAI-generated conversationusing AI for storytellingcreative technologydigital content creationnotebook LM featuresfun with AItech for artistsDIY podcastingintuitive tools for creatorstech for creatorspodcast in minutesdeep diveAINotebookLMGemini
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Описание к видео Create a Podcast in Minutes with AI: Genius Hacks Using NotebookLM!

In this video we take AI language model NotebookLM and use it to make short podcasts about anything you want! Like most good tools, it's fun to use them the wrong way- and that's exactly what we do! Notebook LM is one of the newest AI tools out right now, learn how to use it.

Artists in video:
Mike Meier https://www.michaeltmeier.com/
Jimmy Kuehnle https://www.jimmykuehnle.com/


Notebook LM is an AI language model designed for interactive use in computational notebooks, capable of generating human-like text and assisting with code execution tasks. It can handle a variety of tasks such as writing, answering questions, and helping with data analysis or visualization within a notebook environment. This model is built to integrate seamlessly with code, providing real-time feedback and enhancing productivity in coding and research workflows.





In this podcast, the host provides an insightful and creative guide on using Notebook LM, showcasing how to harness its potential for making unique content quickly and easily. Notebook LM is a versatile tool that allows users to create projects by compiling different forms of information—audio files, PDFs, URLs, and more. What makes the tool stand out is its ability to generate a "deep dive," where two AI-generated hosts have a fluid, back-and-forth conversation summarizing the input material. This feature alone opens the door for fascinating possibilities in content creation.

The host describes the ease of using Notebook LM, demonstrating how to start by creating a new "notebook" and adding various sources of information. Users can drag and drop a wide range of files like PDFs, website URLs, and even Google Docs into the platform. A particularly fun aspect of this tool is that while it’s designed for serious data analysis, it can be used in more playful or unconventional ways. For instance, the "audio overview" feature can synthesize and present content about people or topics in a way that feels very natural—even if the information provided is a mix of facts and creative fiction.

To test its capabilities, the host fed Notebook LM detailed information about a few artist friends. This included their CVs from their websites, videos, and PDFs containing screenshots of their artwork. Interestingly, although Notebook LM cannot directly analyze images from a website, it can interpret images when they’re embedded within a PDF. This was an important discovery, as it opened up more opportunities to feed the tool visual data alongside text.

The results of these audio-generated deep dives were impressive. The AI-generated conversation about the artists' practices felt fluid and surprisingly accurate, even with limited data. The host decided to take things a step further by adding a creative twist to the input data, uploading fictional information. For one artist, the host provided a detailed narrative about how the artist wasn’t just a creator but also a reclusive, international figure with fans who cosplayed as his artwork. For another artist, a fictional story described him leading thousands of followers into the Pacific Ocean in a grand swim to Hawaii. Despite the outlandish nature of these inputs, Notebook LM’s output was both engaging and enjoyable to listen to, blending facts with fiction seamlessly.

The host also shared an important tip regarding how Notebook LM processes information. When uploading direct URLs or official documents, the tool treats them as factual data. However, if users add information through the "notes" section, the tool may not treat it as fact-based content. To work around this, users can save their fictional content as a PDF and upload it, causing Notebook LM to treat it as a more authoritative source. This little trick opens up creative possibilities, allowing users to guide the tool in producing the kind of content they want, whether it’s factual or fictional.

In conclusion, the episode illustrates the versatility and creativity that Notebook LM brings to the table. It not only offers robust data analysis features but also gives users the freedom to blend fact and fiction for playful, engaging content. Whether you're a creator looking to summarize artist portfolios, or a storyteller weaving mythical personas, Notebook LM is a fun and intuitive platform that can elevate any project. The links in the video’s description provide further insight into the artists featured in the episode, making this a full-circle experience for listeners and creators alike.

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