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Obsidian + Cursor = Magical AI Knowledge Management
Today we explore how Cursor, a tool primarily aimed at developers, can widely help us to better work with and manage our knowledge inside of our existing Obsidian vaults. Because of it's unique semantic search and AI capabilities, Cursor offers a dramatic shift in our capabilities when it comes to working with our knowledge bases.
Links from the show:
Obsidian Editor - obsidian.md/
Cursor IDE Software - www.cursor.com/
Cursor Docs on Indexing - docs.cursor.com/context/codebase-indexing
Mintlify Documentation I bookmarked - mintlify.com/
Follow us at Stable Discussion: blog.stablediscussion.com
00:00 Introduction to Knowledge Management with Obsidian
01:24 Exploring Cursor: The AI Code Editor
02:35 Integrating Obsidian with Cursor
04:55 Using AI to Query Your Knowledge Base
06:36 Advanced Use Cases and Troubleshooting
08:34 Brainstorming with AI: Generating New Ideas
09:04 Exploring AI Tools for Developers and Designers
09:27 Enhancing Documentation with AI
09:53 Improving Content with AI Edits
10:29 The Power of AI in Knowledge Management
11:29 Why Obsidian Still Matters
12:13 Using Obsidian for Daily Workflow
13:43 Integrating AI with Obsidian
14:48 Conclusion and Final Thoughts
Переглядів: 11 014

Відео

Talk to Anyone! - Better Translations with OpenAI's NEW Realtime API
Переглядів 31916 годин тому
Today we're jumping into the amazing capabilities of the latest AI models from OpenAI and the incredible UI experiences we can build with them. I've been struggling to find a good translation tool for a long time and I've only just found a great way to have real-time conversations with my entire family! Watch as I share some simple code changes that create a huge difference in my life and in th...
Is Fine Tuning ChatGPT Still a Waste of Time?
Переглядів 287Місяць тому
What are the limitations of fine tuning AI models like Open AI’s GPT 4o? Today we explore new studies on fine tuning’s effect on model accuracy and hallucinations. We also preview innovative new RAG capabilities, including context caching, and their potential to transform AI development. Lastly, we touch on the influence of hype in machine learning and its various impacts on the field. 00:00 In...
AI on the Frontend! Hosted by APIs and IPAs
Переглядів 2772 місяці тому
Today I gave a talk where I share insights on how to enable frontend engineers to build new AI features. I discuss my journey from backend development to a customer-centric approach and highlight the importance of integrating AI into frontend processes. I explores the challenges and opportunities in the AI space, emphasizing the need for customer-centric innovation and collaboration. Key tools ...
Create Prototypes that Match your Design Definition Fast Using Claude and Claude Artifacts
Переглядів 5933 місяці тому
Ever wanted to just create an MVP or an idea yourself without needing the technical knowledge required? This seems like it might be just around the corner with Claude Artifacts, an amazing AI tool that can create real working code using a ChatGPT style generation. Today we dive into an example of how to get started creating a set of design files that can help you to quickly and easily get start...
Doesn't it feel like Figma's AI is missing something?
Переглядів 7003 місяці тому
In today's episode, we compare Figma's latest AI features, announced at Config 2024, with Claude's new Sonnet 3.5 model. We explore how Figma's enhancements assist designers in automating tasks like naming layers, performing searches, and generating designs, versus Claude's innovative approach for non-specialists to quickly prototype interactive POCs and demos. We also evaluate the impact of th...
PDF Parsing has changed in GPT-4o - 1000 Subscriber Highlight
Переглядів 3,9 тис.5 місяців тому
Today we're here to celebrate reaching 1000 subs on Stable Discussion! Thanks so much for following and tuning in for every new video! We're excited that OpenAI released their latest model to help us celebrate and today we talk about how this latest model has completely changed how we think about PDF Parsing. While we know that correctly parsing information out of PDFs is critical for creating ...
AI Still Can't Code Alone
Переглядів 6225 місяців тому
Today we dive into what makes an AI incapable of coding entire solutions without developer guidance and why AI have become helpful assistants over becoming junior engineers on software teams. Problem domains have a lot to do with it and we discuss where these problems occur and why. Links: Devin announcement: www.cognition-labs.com/introducing-devin Devin debunk: ua-cam.com/video/tNmgmwEtoWE/v-...
The AI Note Taking Powerhouse - Obsidian
Переглядів 12 тис.6 місяців тому
Today we dive into how to enhance our note taking experience using modern LLMs like ChatGPT, Gemini, and Claude. Obsidian is uniquely positioned to enable you to enhance your notes with very little overhead and at no cost (outside what AI tools you pay for). Check out how to get things setup and get started empowering yourself with a unique note taking setup! Show Links: Obsidian: obsidian.md/ ...
Staying Creative in 2024 - Stable Discussion Podcast - Episode 9
Переглядів 1137 місяців тому
Staying Creative in 2024 - Stable Discussion Podcast - Episode 9
Google Gemini and The Possibilities of Massive Context Windows
Переглядів 3347 місяців тому
Google Gemini and The Possibilities of Massive Context Windows
Opportunities to Refine RAG: Evaluating Your Options
Переглядів 2538 місяців тому
Opportunities to Refine RAG: Evaluating Your Options
Avoiding HypeGPT: Navigating The AI LLM Hype
Переглядів 1,1 тис.9 місяців тому
Avoiding HypeGPT: Navigating The AI LLM Hype
Stable Canvas: A New AI Art Interface for Exploration
Переглядів 1539 місяців тому
Stable Canvas: A New AI Art Interface for Exploration
ChatGPT Shows How Most AI Tech Has Been Unused for Years!
Переглядів 1,8 тис.9 місяців тому
ChatGPT Shows How Most AI Tech Has Been Unused for Years!
Speaking the Right Language with ChatGPT and Other AI Models
Переглядів 21010 місяців тому
Speaking the Right Language with ChatGPT and Other AI Models
Why Your GPT Prompts Always Fail and How Measurement Can Help
Переглядів 44610 місяців тому
Why Your GPT Prompts Always Fail and How Measurement Can Help
Will AI Agents Take Jobs from Programmers?
Переглядів 56810 місяців тому
Will AI Agents Take Jobs from Programmers?
Claude 2.1 and GPT-4 Turbo Miss The Mark on Large Contexts
Переглядів 2 тис.10 місяців тому
Claude 2.1 and GPT-4 Turbo Miss The Mark on Large Contexts
Returning to AI - Stable Discussion Podcast - Episode 8
Переглядів 10610 місяців тому
Returning to AI - Stable Discussion Podcast - Episode 8
Fine Tuning ChatGPT is a Waste of Your Time
Переглядів 24 тис.10 місяців тому
Fine Tuning ChatGPT is a Waste of Your Time
Should Devs Worry About OpenAI?
Переглядів 1,2 тис.10 місяців тому
Should Devs Worry About OpenAI?
Will Junior Devs Survive AI and ChatGPT?
Переглядів 1,1 тис.10 місяців тому
Will Junior Devs Survive AI and ChatGPT?
Learning AI as a JavaScript Developer
Переглядів 31610 місяців тому
Learning AI as a JavaScript Developer
The OpenAI API is better than ChatGPT
Переглядів 6 тис.10 місяців тому
The OpenAI API is better than ChatGPT
Don't just use ChatGPT with your PDFs
Переглядів 1,1 тис.11 місяців тому
Don't just use ChatGPT with your PDFs
What is AI: Beyond ChatGPT
Переглядів 51Рік тому
What is AI: Beyond ChatGPT
Meeting AI Innovators - Stable Discussion Podcast - Episode 7
Переглядів 57Рік тому
Meeting AI Innovators - Stable Discussion Podcast - Episode 7
Humanism Meets AI - Stable Discussion Podcast - Episode 6
Переглядів 38Рік тому
Humanism Meets AI - Stable Discussion Podcast - Episode 6
AI Research for the Rest of Us - Stable Discussion Podcast - Episode 5
Переглядів 59Рік тому
AI Research for the Rest of Us - Stable Discussion Podcast - Episode 5

КОМЕНТАРІ

  • @DaleSimpson
    @DaleSimpson 3 хвилини тому

    Intriguing idea. Well done, and thank you for sharing it!

  • @AntonioLeivaCom
    @AntonioLeivaCom 2 години тому

    Could obsidian be used as a source of knowledge when we are developing? I mainly do Android, and the LLMs knowledge is too outdated, and usually fails on the same points. I’d that knowledge could be injected somehow it would be awesome. I added the Android developers site as a source, but that site is not prepared to be scraped properly, and hardly ever finds anything useful. Thanks for the video! I also use obsidian, and this will be really helpful.

  • @uw10isplaya
    @uw10isplaya 6 годин тому

    I'm not into Coding too much, just browsing various use cases and informative videos, so this might be an obvious question: Does Cursor let you use a local model or more RAG friendly model for its QA section (using 3.5 sonnet in the vid). Seems weird that the model doesn't have access to your "codebase" as a RAG database, especially if it's just text. Would be nice to be able to query the model and the database simultaneously without having to select one option or the other.

  • @JasonStorey
    @JasonStorey 7 годин тому

    I just use msty. It lets me point to an obsidian repo, turn it into a knowledgebase and add it to chats in a friendly chat interface and do the same thing. The big difference is that it lets me use any model, it stores its chat histories, lets me bring in internet search results and generally have a lot more control over the whole interaction. For added bonus I run it on a different machine than my daily driver and I have a remote endpoint (that mirrors the openai spec) that can be called and chatted with from any machine and using whatever model is best for the task with no waste of my main machine processing.

  • @techfixer1543
    @techfixer1543 7 годин тому

    Great content in your vid Ben. I too use Obsidian with lots of plug-ins. Itchin' to integrate Cursor as yo did. Hey what app, setting, or other tool are you using when using your pointer to move and fade out red trails as you make points on your slides. I'd like to do the same. Thanks!

  • @ZakirJaafar
    @ZakirJaafar 11 годин тому

    Thx. I have been wanting to dive into cursor. Now this can be just the nudge since Obsidian is my daily goto.

  • @NierAutomata2B
    @NierAutomata2B 11 годин тому

    Try this simple question "give me a recap of last week" with this approach. It doesn't know the current time so it has no idea when "last week" is, let alone knowing how to retrieve things from last week. Copilot for Obsidian can do that though. Because it became agentic since its recent update.

  • @jsward17
    @jsward17 12 годин тому

    Why not use Ollama through an Obisidian extension?

  • @vitalis
    @vitalis 13 годин тому

    Interesting

  • @Алексей-й4з6ш
    @Алексей-й4з6ш 15 годин тому

    Obsidian plugins: - smart connections - obsidian copilot - gemini for obsidian do this all better. Smart connections establish connections between files. 🙌

    • @vitalis
      @vitalis 13 годин тому

      Smart connections is a paid feature and the UI is bad. It is hard to enable and uninstall.

    • @StableDiscussion
      @StableDiscussion 13 годин тому

      I similarly don’t love the UI experience of most of the Obsidian interfaces. I do think text generator isn’t too bad but it struggles to be configurable enough. Plus I can’t understand why all my embeddings change every time I bump the version of smart connections. I get thrown around to different models every time I update it seems. Haven’t really experimented with paid but ultimately find gpts a bit clunky to work with too

    • @jsward17
      @jsward17 12 годин тому

      @@StableDiscussionsmart connections is in fact bad software. It’s very unclear how to use it properly. I have something that is a very simple ‘highlight and right click to submit as a prompt’ - i forget what’s it’s called. Much easier to understand. Would love something that adds tags automatically.

    • @aaagaming2023
      @aaagaming2023 9 годин тому

      Copilot plugin is actually op. But since youre using obsidian through an IDE, you can do better by running it in VScode and using Cline as the LLM agent.

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w День тому

    Does it have a student discount?

    • @StableDiscussion
      @StableDiscussion 23 години тому

      Not yet, but it sounds like they are interested in eventually having one: forum.cursor.com/t/cursor-for-student/148

  • @EasygoingTravel
    @EasygoingTravel День тому

    Very cool. Powerful tool. Wish I'd consolidated my knowledge base in one place decades ago. What I need is a tool that will do that consolidation from dozens of different formats going back decades and make it all accessible.

  • @ock538
    @ock538 5 днів тому

    thanks big time

  • @StableDiscussion
    @StableDiscussion 6 днів тому

    If you're trying to test this out today there's unfortunately a bug with the realtime API that breaks this! Hopefully OpenAI will fix this soon: community.openai.com/t/real-time-api-not-responding-from-the-2nd-message/980614

  • @Trancer006
    @Trancer006 16 днів тому

    Isn't RAG used with vectors rather than keyword matching? This makes it really costly.

    • @StableDiscussion
      @StableDiscussion 15 днів тому

      Costly by what measure? There are vector databases that optimize the compute on these. From a storage perspective there is some cost there but you actually don’t need to vectorize the entire document which can reduce size. I think if you’re looking at optimizing anything with AI you’re likely still pretty early. Optimize and you might get left behind

    • @Trancer006
      @Trancer006 15 днів тому

      @@StableDiscussion It cost me like 8k tokens when i uploaded a few page document and asked model to retrieve a specific piece of information with plain language. So i figured it's too costly then and I wasn't using it the intended way.

  • @dolanbright3733
    @dolanbright3733 18 днів тому

    super valuable! thanks for posting

  • @dolanbright3733
    @dolanbright3733 18 днів тому

    super good video man, keep going! you are definitely going to get big here, you are bringing a lot of value!

  • @mikemarrotte
    @mikemarrotte 23 дні тому

    Been contemplating using Obsidian + AI tools for a while now and this is so helpful! Thanks for putting this out there, ya got yourself a new sub 🙏🏼

  • @viniciusgp5656
    @viniciusgp5656 26 днів тому

    Your video saved a lot of time. Me and my colleagues are working on a project to create a RPG(role playing game) Character Creator with AI. We intended to "train" the AI with fine tunning to give answears based on the context provided by the universe created by the game master. Based on that he would output traits, personality, backstory, tips for building a good character and more. Turns out that we would need to treat raw data to "feed" the AI for fine tunning. And I gess it would be too dificult to accomplish. I feel much more confident on giving the context of the universe as prompt cache. This would make much more sense. If I fine tuned it, I would have less creative outputs and a kind of BIAS towards its training resulting in a less interesting product. The downside is that it seems to cost much more. Thank you for the video.

  • @John-e7g5r
    @John-e7g5r Місяць тому

    Thanks for explaining in a way that's easy to understand

  • @blackblather
    @blackblather Місяць тому

    Good point

  • @Fs3i
    @Fs3i Місяць тому

    I’d say the solution is ordering in the answer (names and places first) or two independent queries. However, independent queries have a disadvantage- you pay twice for the input tokens (with the current on-demand pricing), which is less than desirable The advantage of independent queries is lower answer latency, though. And with cheaper models, you can often afford the double input tokens depending on the usecase

    • @StableDiscussion
      @StableDiscussion Місяць тому

      Yeah, there are some aspects that need to be balanced. In the source video we add this issue to the new feature by Anthropic to cache context for a 90% cost reduction on requesting against a known context. Really opens up this problem to making more small requests than trying to tune a prompt that returns a lot of different data points

  • @techracoon7180
    @techracoon7180 Місяць тому

    Cool but fine tuning is a necessary tool if you want to lock domain specific information that doesn't change frequently into the model while freeing up the context window for more dynamic content. An example: I want to make an AI model that generates quests in a game. For this I need to finetune the model to have the basics of the game universe and such and free up the context window to include the information that is coming from the game world, such as population of each territory, which faction controls which places, the user's location and progress, etc.

    • @StableDiscussion
      @StableDiscussion Місяць тому

      Thanks the comment, however I'm unconvinced that it's a good idea for locking in a domain unless you have a very specific way you want it to answer. Say, in your example, you want it to structure quests in a specific way that has enum values or other formatting that needs to be adhered. That could be a good means of fine tuning but you might see a drop in overall quest creativity. I'd find using a RAG-like approach to only pull in context about the world at quest generation time to be a better and more scaleable approach. You are in control of the factors and can adjust and change how you add context as you tune the game you're creating. This pushed me to summarize and put out another post on this topic which leverages your example in some of my thinking: ua-cam.com/video/ZI0ujkLhlCY/v-deo.html

    • @techracoon7180
      @techracoon7180 Місяць тому

      @@StableDiscussion Thank you for your reply. As I understand from your explanation, you are saying that with fine-tuning, I will be unable to lock in the extra domain-specific data into the model. I would only be able to teach it for subtle formatting and such things. I agree with that upon some investigations, and the fact that I don't have labeled data for it. A RAG approach would fit this usecase much better indeed. Thank you for the clarification, good videos overall.

  • @llvkv
    @llvkv 2 місяці тому

    Do you use native AI note app like Mem or Saner?

    • @StableDiscussion
      @StableDiscussion Місяць тому

      I've never tried either of these. I generally like seeing inside the box and having a bit more insight into how the tools that operate on my notes work. That said Mem looks pretty cool!

  • @larsfaye292
    @larsfaye292 2 місяці тому

    You guys are producing some of the best conversations out there around AI and web development! And your speaking style is simply top notch.

  • @petportal_ai
    @petportal_ai 2 місяці тому

    Great content, and we appreciate the Pet Portal AI shout-out in the presentation! You've been incredible to work with and have really helped bring our vision to life! Love the way you break down and simplify concepts AND processes (i.e., Sanity 😊)

  • @scottvickrey2743
    @scottvickrey2743 2 місяці тому

    Thanks for your indepth explanation. It has effect.

  • @droidtafadzwa5545
    @droidtafadzwa5545 2 місяці тому

    You got yourself a new subscriber

  • @leah.internet
    @leah.internet 3 місяці тому

    Spot on. I'm a product designer who for the last year has switched to mostly dev. I've always done a little bit of html/css but now with Claude, I'm actually able to bypass the great divide and push front-end.... and backend code. And it's not absolutely terrible either, crazy!

  • @m.x.
    @m.x. 3 місяці тому

    Good luck iterating over the initial design/code/test :)

    • @StableDiscussion
      @StableDiscussion 3 місяці тому

      Iterations are actually better than I’m used to seeing in AI coding and I think that’s partly due to the speed of feedback. There’s still a lot of the caveats that I mentioned in my AI coding video but it is amazing for isolated interface design which makes up a significant chunk of product work on web. Coding Video for reference: ua-cam.com/video/BxKXSlc759Y/v-deo.htmlsi=fnqeV0mzZ9emt9SL

  • @EvansOasis
    @EvansOasis 4 місяці тому

    Very well done explaining the uses of this tool! I believe future version of it will change how we go about everything, and a big step will be the ability to visualize and interact with these connections. I wanted to let you (and whoever sees this) know that I've collaborated with Brian (Creator of Smart Connections) and released the official plugin companion: "Smart Connections Visualizer". For this first version, it's an obsidian graph view that shows relevant connections to your current note. I'll still be adding much much more to it, also with an ability to customize how you see things like no other! Give my channel a peak if you want to find out more If it's not too much, could you pin this comment to let people know about this tool to enhance their experience with SC?

  • @Saintel
    @Saintel 4 місяці тому

    If you use ChatGPT does that not just make your Obsidian notes no longer private?

    • @StableDiscussion
      @StableDiscussion 3 місяці тому

      Sure, there’s some risk there. If you’re leveraging the API and this risk is meaningful to you, you can request to use it with a zero retention policy: community.openai.com/t/does-gpt-api-keep-data-acquired-from-client-request-private/315844/5

    • @koska3
      @koska3 3 місяці тому

      I think it wouldn't be too much of a problem, unless you're a criminal

    • @Saintel
      @Saintel 3 місяці тому

      @@koska3 Wanting privacy does not make you a criminal.

    • @Saintel
      @Saintel 3 місяці тому

      @@StableDiscussion Thanks :)

  • @ramakrishnaprasadvemana7833
    @ramakrishnaprasadvemana7833 4 місяці тому

    This is good Working tutorial will help viewers to understand more deeply nuances and start applying the concepts learnt. And some of them will come back and enrich every one with their experience

  • @yanrongliao846
    @yanrongliao846 4 місяці тому

    Hello, I don't know the principle of the pipeline, I wonder how can I establish a didicated law's gpt, I just upload some pdf, and each is at about 10Mb,but I failed to let gpt answer my quetion even if the pdf are so precise.

  • @AdnanAli
    @AdnanAli 4 місяці тому

    Congratulations. There are tools like Langsmith now that can be used to show the chain used by the GPT.

    • @StableDiscussion
      @StableDiscussion 4 місяці тому

      Thanks! And thank you for watching! I like Langsmith but if you’re on an old version of Langchain I think it won’t be compatible with the current method usage as the API has changed a lot. Especially with old workarounds from 7 months ago. Couldn’t even get the old app building so it was unlikely I’d be able to add tooling on top. But thanks for the recommendation!

  • @DevulNahar
    @DevulNahar 5 місяців тому

    This is pretty cool. Can you give a tutrial of PDF ingestion pipeline?

    • @StableDiscussion
      @StableDiscussion 5 місяців тому

      Thanks for watching! Hoping to dive into more detailed work at a future milestone. Will update here when that comes!

  • @MichealScott24
    @MichealScott24 5 місяців тому

  • @petportal_ai
    @petportal_ai 5 місяців тому

    Congratulations on the 1k subscriber milestone! Well deserved with such great content. Turning my notifications on!

  • @TechAtScale
    @TechAtScale 5 місяців тому

    Have you taken a look at Amazon Q with dev mode in an IDE yet?

  • @MichealScott24
    @MichealScott24 5 місяців тому

    🫡❤

  • @marketfarm
    @marketfarm 5 місяців тому

    "hallucinates a guess". I like that. 😆

  • @Maisonier
    @Maisonier 5 місяців тому

    There is anyway to use the GPU for this?

  • @101RealTalker
    @101RealTalker 5 місяців тому

    My vault is over 3million words across 2k+ files, all geared towards one project. I was excited to use the Co-Pilot plugin because it advertises "vault mode", but was quickly disappointed when its default reference amount was only 3 notes/files at a time (lol), and can only stretch to 10 but gives a warning that it will prolly screw up the responses. I want to communicate with my vault as a whole for perfect macro context, but it seems my case use is still not possible with current Ai? SmartConnections doesn't seem to be any better, or am I mistaken?

    • @StableDiscussion
      @StableDiscussion 5 місяців тому

      Sweet! That’s a good size! Smart Connections is similar but breaks files into blocks. You’ll pull several related references from within the context of some files which performs better but may take things out of context. Seems like it would perform better This problem is actually generally not so much about what AI is capable of today, it’s that general (solve all) solutions often don’t perfectly fit the problem space or some specific domain. Early days, and everyone is still figuring it out. Some new models can handle a lot of context but no infinite search over your notes yet but one solution could exist that might make you not care about it much

  • @CitizenWarwick
    @CitizenWarwick 6 місяців тому

    We had a well crafted GPT4 prompt with many tests covering our desired outputs. We took gpt35 and fine tuned it and now it's performing the same. Worked well for our use case!

    • @YanMaosmart
      @YanMaosmart 4 місяці тому

      Can you share how many datasets have you used to finetune? Used arounds 200 examples but finetuned model still not work quite well

    • @CitizenWarwick
      @CitizenWarwick 4 місяці тому

      @@YanMaosmart around 600 though I guess success depends on expected output, we output JSON and our prompt is conversational

    • @prozacsf84
      @prozacsf84 29 днів тому

      Can you share is it cheaper with fine tuned mode, ratio maybe ?

  • @NLPprompter
    @NLPprompter 6 місяців тому

    dude try obsidian copilot can use ollama, with that can use dolphin mistral = it's uncensored AI so there is no guardrail, this way we can be anything creative with texts.

    • @StableDiscussion
      @StableDiscussion 6 місяців тому

      Thanks for the suggestion! I like the look of that but don’t see a lot of activity on the GitHub. Still seems nice to be able to bring in other models, especially local models Dolphin has been pretty fun to play with too

  • @NDnf84
    @NDnf84 6 місяців тому

    Almost none of this is AI.

    • @StableDiscussion
      @StableDiscussion 6 місяців тому

      Right?! We make our own stuff here with very little generation of content. Thanks for noticing ❤️

  • @AnimusOG
    @AnimusOG 6 місяців тому

    Well done my man. Keep it up. Your content is valuable because your explainations are excellent!

  • @yongyu2032
    @yongyu2032 6 місяців тому

    Hi! Good video! I am wondering if you are using any of the openai service essentially you are not running the model locally right? Is there a local embedding and llm available for this, such as llama2 or mistral. Thanks! Awesome video.

    • @StableDiscussion
      @StableDiscussion 6 місяців тому

      Thanks! Glad you enjoyed it! Local embedding are definitely available. Local models currently don’t seem supported but you can proxy requests in these plugins and that could make something like that work too

  • @marketfarm
    @marketfarm 7 місяців тому

    Yes! I’m ready to upload my decades of original notes and content into Obsidian and instruct my LLM to cull through them to create new material based on my own source material. Come on, pick my brain.

  • @needsmoreghosts
    @needsmoreghosts 7 місяців тому

    Aye, very insightful, and was something I also picked up from using Stable Diffusion a lot. One thing that's helped a lot with prompting ChatGPT is the '-' dash seperator. It's a good way to make sure words are often not linked together as tokens, as 'Space Dash Space' is often just 1 seperate token in and of itself. If there are two seemingly odd words that I want to seperate in a prompt, it seems to give decent indication. I would say with json formatting, this can actually be pretty decent, as it's a clean well understood set of characters with clear meanings, [1,2,3] or whatever value is probably easily interpritable.