Learn Anything Faster: Save 80% of Your Time with Gemini Deep Research & Obsidian [Guide & Setup]

Summary

Highlights

• AI-powered knowledge graphs are game-changers for learning! 🌟
• Google Gemini designs a research and learning roadmap just for you! 🎯
• Obsidian supports creating networked notes for deeper understanding. 🧠
• Tony demonstrates making complex topics fun and fast to learn. 🚀
• The setup helps transform study routines with technology and efficiency. 💻

Key Takeaways

• Combine AI tools like Google Gemini and Obsidian for rapid learning! 🤓
• Save time by creating automatic learning roadmaps and knowledge graphs. ⏰
• AI performs deep research and provides structured outputs for easier comprehension. 📚
• Obsidian allows you to create personalized knowledge connections. 🔗
• This method turns complex research into a fun, manageable task! 🎢

Overview

Chapters

• 00:00 - 00:30: Introduction to Obsidian Knowledge Graph The chapter introduces the Obsidian Knowledge Graph, an AI-generated tool. It highlights that the Knowledge Graph includes not just a visual map but also a clearly explained learning roadmap. This roadmap is sectioned by key concepts, with various articles and reference links provided for further reading. Additionally, the Knowledge Graph offers an index page designed to help users complete notes on each key concept.
• 00:30 - 01:00: Efficiency with Gemini Deep Research & Obsidian Setup In this chapter, Tony, an engineer and tech enthusiast, discusses efficient methods for learning new topics using tools like Gemini Deep Research and Obsidian. He emphasizes simplicity and efficiency, aiming to provide viewers with a learning roadmap within 10 minutes. Tony acknowledges the common use of GPT prompt tricks but introduces a structured approach to serious topic research and learning without relying on applications such as Obsidian.
• 01:00 - 01:30: Combining Google Gemini and Obsidian for Learning This chapter discusses the synergy between Google Gemini and Obsidian for self-learning. It highlights two major components that enhance learning efficiency: using Google Gemini for topic research and creating a knowledge graph in Obsidian with AI support. These tools collectively facilitate faster and more efficient knowledge acquisition. The chapter begins with a fundamental approach for learning any topic from scratch.
• 01:30 - 02:00: Fast Topic Research with Google Deep Research In this chapter titled 'Fast Topic Research with Google Deep Research', we dive into the challenges of conducting research for learning materials. It often involves piecing together fragmented information and can take extensive time—potentially days or weeks—to compile a comprehensive study guide. However, this chapter introduces a solution to expedite this process: 'Google Deep Research'. The concept of deep research is presented as a powerful function within the Google Gemini application that significantly reduces the time needed for research, potentially achieving results in just minutes.
• 02:00 - 02:30: How Google Gemini's Deep Research Works The chapter delves into how traditional search engines work and introduces a concept of advanced AI-driven research methodology. It begins with the basics of how search engines like Google operate by finding and presenting relevant websites and information based on user queries. The discussion progresses to modern AI search engines, such as Perplexity, which not only identify relevant content but also engage with it to derive meaningful insights. The chapter suggests envisioning a future where intelligent, AI-powered research assistants could play a crucial role in enhancing information retrieval and comprehension.
• 02:30 - 03:00: Creating Research Plans with Google Gemini The chapter introduces the concept of using Google Gemini, an AI agent, to enhance the process of information searching and research planning. Instead of solely relying on search engines like Google or Perplexity, it emphasizes the importance of planning how to conduct research more effectively. When a user poses a question, such as 'What is artificial intelligence?', Google Gemini first creates a research plan. This plan is then reviewed by the user, referred to as the 'master', to determine its suitability and effectiveness for their needs.
• 03:00 - 03:30: Conducting Online Research with AI The chapter discusses how to effectively conduct online research using AI tools. It highlights the ease of using AI to streamline the research process: formulating a research plan, searching for information online, reading materials, and compiling a report for review. The text provides a hypothetical example indicating the simplicity of the process by using SpaceX's Starship as a topic of interest. Readers are instructed on initiating a query, such as wanting to know everything about the SpaceX Starship. This illustrates the ability of AI to facilitate comprehensive research inquiries.
• 03:30 - 04:00: Generating Learning Roadmaps with Google Gemini The chapter discusses how AI is considering a research strategy that could enhance learning. It focuses on gathering information about the SpaceX Starship program, its objectives, and current progress. The AI's first research target is to locate articles and news reports on recent developments related to the Starship, including test flights and future missions.
• 04:00 - 05:00: Starship Research Example Using Google Gemini The chapter titled 'Starship Research Example Using Google Gemini' discusses the technical specifications of the Starship, including its size and capabilities. It explores potential applications, environmental impacts, and addresses the challenges and risks associated with it. The chapter also includes an AI-generated plan for Starship research, which readers can edit to better suit their needs.
• 05:00 - 06:00: Understanding Starship with AI Research This chapter discusses recent changes in the research plan concerning Elon Musk's vision for the Starship. The conversation indicates an intent to edit or update the plan, suggesting ongoing developments and considerations in AI research relating to SpaceX's Starship project.
• 06:00 - 06:30: Importing Research Data into Obsidian This chapter discusses the process of importing research data into the note-taking app, Obsidian. It begins by mentioning updates on Elon Musk's vision for the Starship project, which is an unrelated but intriguing segue likely used to demonstrate the breadth of information that can be incorporated into Obsidian. The main focus seems to be on utilizing tools, such as Google Gemini, to perform deep research online, automatically searching and reading data from the internet to be subsequently organized and presented within Obsidian.
• 06:30 - 07:00: Using Obsidian for Personalized Knowledge Graphs This chapter discusses the use of Obsidian, a tool that can be used to create personalized knowledge graphs. It highlights the tool's capability to analyze large volumes of content, such as articles up to 60 pages or more, to generate comprehensive reports. The tool is positioned as ideal for anyone looking to explore topics of interest in-depth. The process involves researching and analyzing relevant content and compiling it into a report that the user can review at their convenience, indicating that the tool can work autonomously to some extent.
• 07:00 - 08:00: Automating Note-taking with AI In this chapter titled 'Automating Note-taking with AI', the focus is on utilizing AI to streamline the process of taking notes. The discussion includes an example on how to create a learning map using AI, specifically through the use of a large language model. The prompt entails asking the AI to create a learning roadmap based on a given topic, demonstrating how AI can generate detailed outlines and insights about subjects like large language models. The example highlights the efficiency of AI in producing structured learning material or research reports, reinforcing the theme of automation in educational or research contexts.
• 08:00 - 09:00: Creating Index Notes and Backlinks in Obsidian This chapter focuses on creating index notes and backlinks in Obsidian, a note-taking app. It discusses developing a learning roadmap based on research findings, specifically focusing on AI applications. The learning roadmap is structured to guide users from basics to building AI applications. Important concepts to grasp are highlighted, and relevant articles and YouTube videos are suggested for further understanding and engagement with the material.
• 09:00 - 10:00: Finalizing the Learning Setup in Obsidian The chapter titled 'Finalizing the Learning Setup in Obsidian' appears to focus on concluding the process of setting up an educational structure within the Obsidian platform. It begins with an introduction to large language models provided by Google Cloud and YouTube, suggesting these are key resources within the setup. The transcript encourages readers to watch relevant videos as alternatives to reading articles, enhancing the learning experience. It then proceeds with checking the progress and completion of a report related to SpaceX's Starship, signaling a transition from theoretical learning to practical application, symbolized by the completion of the report.
• 10:00 - 10:30: Conclusion and AI Tools Review The chapter reviews Elon Musk's vision for space exploration, particularly focusing on Mars and the development of SpaceX's Starship. It highlights the recent developments and test flights of the Starship, specifically flights 5, 6, and 7. The chapter also touches upon upcoming missions, underscoring advancements and challenges in the pursuit of space travel.

Learn Anything Faster: Save 80% of Your Time with Gemini Deep Research & Obsidian [Guide & Setup] Transcription

• 00:00 - 00:30 okay this is an Obsidium Knowledge Graph  automatically created by AI and the map is   not the only thing you get we also have a clear  learning road map clearly explained section by   section with key Concepts and various articles  and their reference links as well addition to   that you will also have an index page that for  you to complete the notes of each key Concepts
• 00:30 - 01:00 for me personally I cannot think of any other  ways simpler than this for you to learn a new   topic in this video let me show you the  simple setups that could help you get the   similar learning road map within 10 minutes Hi friends my name is Tony. I'm an a engineer and tech nerd enthusiastic in productivity hacks I guess you may have seen prompt tricks and tips to ask GPT to teach you something new but how about serious topic research searing and structured learning process with  no applications like obsidian recently I found
• 01:00 - 01:30 that combining Google Gemini deep research and  obsidian you can save loads of time to teach   yourself any topic today's sharing will include  two major parts that can help you learn anything  faster topic research with Google Gemini  building obsidian Knowledge Graph with AI in cursor okay if you want to learn anything  from scratch the first thing you will do is
• 01:30 - 02:00 research relevant learning materials from online  then trying to piece together various fragmented   information to create your study guide this will  take you days or even weeks of effort to research   but what if I'm telling you that this can be done  in minutes with Google Deep Research so what is deep research? Deep research is a function  that supported in Google Gemini application
• 02:00 - 02:30 it is hidden below here okay let me explain  in a slide so traditionally when we um search   uh anything online and search engine like Google  will help us search relevant website or if you use   perplexity an AI search engine it will look for  website and read relevant materials and picked up   for you but that is only the start so imagine um  that you have a smart research assistant that they
• 02:30 - 03:00 do not only use Google or Perplexity to complete  their research they also plan how to do the   job better so here comes the Deep research it is  an AI agent in information searching so as a user   you will ask a question say what is artificial  intelligence then Google Gemini will create a   plan first and you as the master will review  the plan to see whether it is good for you or not
• 03:00 - 03:30 If you think the plan is good enough it will  follow the research plan search online read the   materials and write a report for you to review so  let me show you how to do it say I would like to   know everything about the Starship you can simply  ask "I would like to know about Starship of spaceX..."
• 03:30 - 04:00 okay so currently the AI behind this is  thinking of a research plan could help you   better so oh so we find information about the  SpaceX Starship program including its goals and   current status so this is the first research  Target then they will find articles and news   report on recent Starship development including  test flights and upcoming Mission then finding
• 04:00 - 04:30 information of the technical specs of Starship  the size the capability and find information   about potential applications as well and last  but not the least the environmental impacts   the potential challenges and risks associated  with Starship as well so the AI create a plan   for us if you don't like this plan you may be  edit it as well
• 04:30 - 05:00 so I say I will like to edit the plan about so I would like to know about the  Elon Mask's Vision on Starship as well   all right so we have an updated the research  plan so at the I think at the last re
• 05:00 - 05:30 at the last action point it added fin  information about Elon Mask's vision on   Starship the uh the six task above is the  same all right okay now we can click the start so while the Google Gemini is doing deep  research for us it will search online read all
• 05:30 - 06:00 the relevant articles and analyze the content  then we'll get back to you a full report for   you to review so seeing it's researching for  49 pages okay 60 Pages or even more so if you   want to learn any area, any task, any topic you are  interested in this is the perfect tool is that I   will let you know when the resch sear is finished  you can leave this chart in the meantime so okay
• 06:00 - 06:30 so let's have a quick look at the example I will  use later so if you want to create a learning map   from Google Deep Research this is the prompt I  use if I want to learn what is large language   model and how can I use large language model be  AI explication would you please create a learning   road map for me okay so under this prompt Gemini's  task is not only create a research report but also
• 06:30 - 07:00 to write a learning road map for you based on  the research result so at list a research plan   for me then write this learning road map. It is called The Learning road map from Basics to   building AI applications it was separate into  sections introduction to large language model   there are key Concepts you should know and  the articles that it found relevant and you   can definitely click the Articles including  YouTube videos as well you see the videos
• 07:00 - 07:30 introduction to large language model Google  cloud and YouTube let's click this see hello   and welcome to introduction to large language  mod great all right so if you don't want to read   articles you can definitely check those videos  later let's check whether our Starship report is completed okay it's really close great it has been completed okay let's  check the report SpaceX Starship reaching
• 07:30 - 08:00 for the stars and Mars with Elon musk's Vision wow  the title is attempting all right say Starship   development and test fly um I will leave uh the  link to this article below and you can definitely   check this out so let's check how many sections  it have Starship development and test flight   recent development uh flight 5 6 7 and upcoming  missions as well so take an example um SpaceX are
• 08:00 - 08:30 outlined several key missions for Starship: Orbit  Refueling Demonstration wow Uncruited Lunar Demo   wow W this is exciting too all right and you will  have uh those specs of Starship and uh internal   designs structure features a lot lot of detailed  information all of this information was actually
• 08:30 - 09:00 not make up from um Google's Gemini. it was from  reliable sources you can take a quick look at this   they are Wikipedias they have informations from  Starship official website they also use uh Reddit   as information Resource as well and of course  we got YouTube videos and NASA report so I I
• 09:00 - 09:30 would say um if I when I was a student if I have  a tool like this I would definitely have higher   marks of my assignment because this is amazing  you have those multimedia resources from different   uh information source and combine together to  create you this single report in just few minutes   additionally if you have Google uh drive you can  open in uh docs and you can edit you can export
• 09:30 - 10:00 the report as well uh since obsidian use Markdown  format we can you can choose download with markdown okay it is downloaded let's open it and  we have markdown file okay I have already import   the learning road map as a markdown file to  the obsidian as you can see that we already   have a well researched learning road map but  having a road map is only the beginning that's
• 10:00 - 10:30 why we need to use obsidian to help us to learn  so the major reason why I love obsidian is that   you can write your note cards each time by  focusing on one concept then you can easily   find and build connections between your new nodes  and existing one with time you will have your own   personalized Knowledge Graph like this on any  topic you are interested in this idea was made
• 10:30 - 11:00 Popular by book "How to Take Smart Notes": Learning by Writing there are loads of great videos on   YouTube right now talking about this so I will  not explain that in details but focusing on one   paino SLOW yes it works but it will take you a lot  of time to build it up and sometimes when you are   facing a sometimes when you are facing a strange  topic or an area you will feel very uncomfortable
• 11:00 - 11:30 but you just don't know where to start the best  way is to buying a textbook in our case what we   need to do is to extract those knowledge point  from the learning road map and make each one   into note cards for us to write learning notes  now this process can be fully automated by AI   okay now we use cursor to open up obsidian file  folders Regarding why and how we use use cursor
• 11:30 - 12:00 to operate obsidian files you can refer to the  link below you can see that this is the markdown   file from obsidian and uh for each section we  will have an Index Note introduce the concept   and provide the links to the note card we need  to fill but how can we create it automatically   this is the part we need to involve AI all right  so the process is very simple it only involves   two steps the first step is to create index  notes and the second step is to create a back
• 12:00 - 12:30 link from index noes to the road map what I will  do here is that I will clean I will delete all the files and remove those back links okay uh now now  we only have one road map nodes um in my obsidian
• 12:30 - 13:00 folder let's use my prompt to try again this is  a learning road map report I need you to do the   following step one based on the learning road map  create a list of markdown files for each topic for   each topic file write an introduction and a list  of knowledge Points each knowledge points title   should be written in double square bracket  uh you can simply use cloud Sonet 3.5 then
• 13:00 - 13:30 submit okay now we have an AI  is creating each note files for you okay we have the ethical part the introduction  part this is the file created by AI okay it has
• 13:30 - 14:00 been completed we already have those uh notes  created with introduction and uh note card link   listed inside uh what you need to do is simply  accept all right you already have those files   the next step is to add a back link on the road  map file so we can use it conveniently this is   the prompt add your created file name list  in road map file place them under each topic
• 14:00 - 14:30 related remember use double pret to quote  the file name okay submit let's see how it   works okay it seems that it got run to create  new file for me no worries let's update the prompt all right let's submit  again so in this case you will
• 14:30 - 15:00 click continue and revert so it will undo  the previous task AI agent did and try again all right it is working great it even add an emoji  here related detail notes cool good job so what
• 15:00 - 15:30 you do accept it and everything is done so this  can be down in couple of minutes let's track the   obsidian file see how it goes in obsidian this  is the original node llm learning road map and   uh here's the link edit we can jump to the index  note where uh it introduced the concept here and   have all those key concept knowledge for you to  fulfill we can try our graph view as well so this
• 15:30 - 16:00 graph view only uses notes in my notes folder  so what I do I will move those index notes into   notes see how it goes great we have our road  map now if you want to learn any New Concept   about the large language model you could have a  quick look around that if you have read something   about testing autom you could simply click it  and write your learning notes Here step by step
• 16:00 - 16:30 with a clear road map you can learn anything  faster okay this is today's sharing so we do   an AI deep research with Google Gemini then  we use cursor AI to build obsidian Knowledge   Graph thank you guys for your time if you like my  video please hit the Subscribe button and click   the thumbs up if you don't like tell me how to  improve that thank you very much for the time