Why & When You Should be Using Claude over ChatGPT

so these days there's really a lot of good and very useful AIS AKA llms out there but across our team the AI Advantage Community my Professional Network and The Wider internet the consensus seems to be clear there's really two of them that stand out open eyes chat GPT and anthropics Claw right now son 3. 5 is the best model and both of these offer Advanced features in forms of gpts and projects these are more specific ways of working with the models rather than just talking to it as you would to an assistant or a human but this seem to have caused a lot of confusion particularly the claw projects feature because it is very different from the gpt's feature inside of chat GPT these days I get many mails comments and questions in the community around when to use what when do I want to use chat GPT when do I want to use cloud when do I use GPT when do I use project and there's actually quite specific answers to all of these questions and in this video I'll present all of them to you one more honorable mention should actually go to gini 1. 5 Pro from Google their model has the largest context window and it has the added capability of you being able to to upload the videos but that's a different topic so without further Ado when do you use gpts when do you use projects let's start by looking at gpts and their advantages and disad advantages as of today some the advantages here are very clear the tooling is just unmatched you have the data analysis tool formerly known as the code interpreter which helps you analyze data by running python code in a sandbox this opens up a lot of opportunities with either data visualization or cleaning and all sorts of other little things that the packages available within python in this environment can do for for you then you obviously have the image generation tool with di this is a unique capability within chat GPT that you do not have with mopic as of now you also have a browsing feature it can go out into the internet retrieve up to five links and use the content of those pages within its answer it's not incredible but it's good enough a lot of times it works although it is a little hesitant to use this you often have to specifically tell it hey go out there and browse the internet go to this URL and check it out nevertheless it's not perfect but it's there and you can use it here's another advantage that in my opinion is maybe the biggest argument here if you build gpts versus projects you can actually share them and I don't mean just sharing the conversation you can actually share the GPT and let somebody else use it now with GPT 40 being free to everybody only a few messages but still free you could send that GPT to any one of your co-workers or family members and they can simply check it out without having a paid plan this can be very powerful if you solve a specific problem of the GPT that the other person might not know how to approach with AI another unique advantage of gpts is that you have these conversational starters AK prompt preset again this is a feature that you want if you set it up for somebody else you don't want them to guess what kind of prompt they should run you just want to set it up for them share it with them and they get the results and then obviously you have actions which allows you to implement external API calls into your GPT so you can do things like save the results of a conversation to a database or trigger some other application as soon as the GPT is done doing its thing and then last but not least when it comes to advantages of gpts over projects is you have the mobile app and it's really easy to switch context from your lapt top to your mobile phone it's actually really convenient and if you have use cases that you might want to use on the go it's great to have the mobility between the gpts now what are the disadvantages of gpts well they're kind of a reflection of the advantages of the project but let me briefly go for them and as mentioned previously after going through these advantages and disadvantages we'll look at what concrete examples you might want to be using gpts over claw for or the other way around so in the end we get more specific rather than talk about the features but the features are important because to achieve a lot of results you do need to have knowledge of the features so disadvantages of gpts well first of all a lot of people State and I would agree that generally anthropics models have a preferable tone of voice and style to their writing it's just more human more fluid it doesn't have this chat GPT stink that so many people point out and if for honest most people are kind of allergic to it at this point at least within the ey bubble that we're in it might be a subjective thing but most people do agree on this another disadvantage of gpts is that they have a limited context window in the knowledge based but a few months ago they shipped a massive upgrad to the knowledge based field future now look I don't dare to publicly State an exact number of how much context you can actually put in there because it just varies in practice while teaching GPT building in the I Advantage Community I came up with this rule of up to 15 pages always works so whether that's one PDF with 15 pages or it's 151 page PDFs up to that amount you're always safe and it includes everything if you venture beyond that here and there it starts losing pieces of the context and I wouldn't fully trust it now can you upload 100 pages and is it going to work yes is it going to miss out on information here and there also so yes this seems to be less of an issue with Claud but again this is a very subjective and intuitive thing that I'm communicating here they have no official data on exactly how many tokens are considered within these documents but let me just tell you from all the collective experience that I've soaked in so far clot projects can take in way more context and it works more reliably both of them work but if you have up to 15 pages both of them work flawlessly and then the last disadvantage of GPT says that you can always only have one chat as you can see in a second here projects are set up in a way where you can have multiple chats as you work on the project this will make a lot of sense when we talk about use cases but before we do that let's talk about one more thing which is the advantages and disadvantages of claw projects now these are kind of the Opposites of the pluses and minuses we just talked about here so let me go through these briefly Cloud projects allows you to have multiple chats in one interface as you're working on the project you can start new and new chats and you can keep everything in one place it's sort of a folder for chat something that I've been asking for and chat GPT ever since it came out it's one of the obvious features that opening ey has refused to release so far probably because they're more oriented towards agentic feature of letting the llm figure it out and building assistance that work for you rather than a llm that works with you next up CLA is just way better at code especially the Sonet 3.

5 model this consensus just has been established at this point across the internet how did they do it there's many theories out there they might have trained the model on synthetic code or there's some other black magic going on in the background but in practice if you're doing coding projects Sonet 3. 5 is usually better with the exception of longer outputs of GPT 40 so if if you need to put out a script that is a little longer GPT 4 all within chat GPT has more tokens that it can output in one shot that is the one advantage when it comes to coding okay next up clot projects also have better tone and style as we pointed out again might be subjective but most people do agree it sounds more human and then we have the longer context within the knowledge base this you work on your own project and that's it there's no prompt presets with conversation starters you cannot access external apis and do things across the internet or your own apps with something like actions and gpts there's no image generation there's no browsing there's no data analysis tool all right so those are the features a few more important notes for you once you're using these tools so one really weird one and I wish they changed this is if you use the search function with an anthropics CLA it doesn't look inside of the project it only looks at the name and the description so if you have a conversation and something comes up in there you cannot search for that as you accumulate more and more projects more and more chats it's really nice to be able to look into the chat that's kind of the whole point of the search function just be aware with projects it only looks at the names and descriptions as of now please change that ofic maybe we don't need the knowledge base I understand how that can be a lot of tokens but the chats should be accessible secondly in both features you can kind of pin the most important ones in gpts it's called that it's called pinning and inside of clot you can start either projects or chats really convenient I use it all the time you should also be aware of the fact that you have custom instructions for both of these which are incredibly useful I've been saying it in every prompting related video on this channel how great custom instructions are and how they allow you to personalize your experience for yourself I mean if you just look at all the Apple announcements their whole thing is hey we you we might not have the best model but we have your personal context and it's present within every conversation and that's why we can unlock all these incredible intuitive and easy to use features for not Millions but billions of consumers and the whole thing is based upon your personal context that's why I've been preaching setting up custom instructions with your personal context since around March 2023 they're super important and if you give it your personal context you can actually turn a normal chat into a personalized AI assistant and with gbts you can share it with other people so you can Empower your whole company Department whatever it might be super powerful stuff use custom instructions okay last but before we get to use cases that CLA actually doesn't offer a store but it doesn't need it it's projects and usually projects are going to be a one-off thing once you're done completing the project you kind of move on whereas gpts are more like an employee that you want to hire on a recurring basis now you might not need the employee for 8 hours a day but maybe you need it for 30 minutes every single week this is where gpts shine whereas with projects once you're done you're going to Archive them and probably not return cuz the project is done so now let's get to the part of when you should be using projects and gpts in concrete scenarios not just the features not just things to be aware of and what scenarios do I use them and What scenario do team members community members use claw projects well as the name suggests everything that is Project based usually you're better served with claw projects as long as you don't need any of the tooling inside of gpts and even more concretely if you're writing something clot projects is excellent because you can give it examples of your writing just like this you put in a few examples of previous emails that you wrote you save it as a PDF upload it to the cloud projects knowledge base and then once you prompt you can always always reference that write in the style of name of the document. pdf and it just works super well with the improved tone the extensive knowledge base where you can upload a bunch of your writing too you can just start writing all types of things that you need to get knocked out you need new email drafts or some presentation whatever it might be as long as it's Loosely related and you want to keep the style consistent projects are a fantastic way to do this because with CLA models like Sonet 3.

5 or Opus and between those two you'll just have to test yourself they're very similar for coding Sonet is but for writing either son or Opus are fantastic I think you're just going to be very happy with the results and you can keep the entire project within one chat very useful but the next example is even better and that is if you're creating a coding related project if you're creating a game or a website and you have multiple code Snippets that you don't all want to be housed in one page well just upload the various python files to projects and it will be aware of your entire application and now if you're prompting something new you're doing it within the context of your entire application and not just the one code snippet or just the conversation you had so far it's aware the entire project huge now could you do this with gpts 2o yes but again coding abilities with mopic model are just better so using coding projects for this is a no-brainer now yes as I mentioned before maybe you need the longer output of GPT 40 and you can generate some of the code in there if you need a longer script but then you can import it to Cloud projects just add the python file to the knowledge base and you take advantage of the long context awareness of cloud to complete your project although some of the code might have come from cat GPT so as you can see to get the most out of these models today you need to be aware of the multiple advantages and disadvantages and ideally you mix and match them and then also clot projects are just generally speaking better for anything where you're going to have five or more chats for or more chats and you're not exactly sure what they're going to look like with gpts it's more like a laid out track that you're going to be following that's what really makes sense within that interface but with projects it's more exploratory it's more like okay I'm starting this project here's a bunch of context here's some of my writing here's some python files that I might have and now let me talk to you and let me figure out what else we need to add here whereas if you build a GP you already know what the use case is you already know what you're going to be doing so that's clot projects and when do you want to use gpts well a very clear one is if you want to build a solution for somebody else if you want to share a AI application or a prompt with a colleague there's no better ways to do it today than with gpts you can customize it to their context with the customer instructions you can add useful prompts to them in the conversation studies you can even add an action and this is the most common one that I personally use that saves it to a datab base so you bring it outside of chat GPT without having to do anything just simply add a keyboard shortcut that engages the action and you can save it to an ocean database and your counterpart doesn't need to know anything about prompt engineering API calls or even how to use it because you set it all up the instructions are there The Prompt presets are there the action is there they just go in and once they're done they press one key and everything that you need gets saved to a database now look this is quite complex and if you're interested in learning this yes I do teach you this is one of the learning paths within our AI Advantage Community but again we give the base presets out for free so if you have enough knowledge and if you want to just customize these and figure all of this out by yourself you can absolutely do that this channel is here to to support you on that Journey too another use case for gpts is everything that has to do with assistants Tutors or coaches it might be a base model it might be a system prompt I'm not exactly sure but when it comes to tutoring and actually assisting you with your work gpds are just so much better the entire ethos behind GPD 40 is the model trying to get your work done for you or with you it's very conversational it's very practical and when it comes to something like an assistant or a tutor gpts are just the perfect tooling for that and actually with my free GPT Builder GPT one of the best use cases is building little custom tutors for whatever you might be learning I have a separate video of that and you can check out the free GPT that builds gpts for you in the description below and another reason to use gpts is obviously the tooling data analysis image generation and web browsing is just something you don't get with anthropics claw today I'm sure it'll come over time but as of today if you want these well got to use GPT for all and then last but not least I would just generalize and say gpts are just better if you have a repetitive task that is super specific and this is the reason why the store didn't work so well because the store tries to give you generalized Solutions and the best gpts are the ones that are custom to your very specific context it's the reason why I think that the Apple Integrations will actually work really well for all the users there because they have your personal context and the gpts from the store don't they're generic by definition but everybody who integrates AI into their workflows and actually builds custom gpts finds that yeah of course it is useful to have a brainstorming body for every single YouTube video that is aware of the last 10 uploads all the titles and thumbnails have I've ever used and has a keyboard shortcut menu of various brainstorming techniques that I apply every single time when I create new video ideas of course that's useful but that's probably not useful to you that's a GPT that I build for myself and that I use all the time but that's because it has all my personal data and context and that's why it works so well this is where GPT Shine versus projects are exactly that there a oneoff project where you might not be sure where the journey leads yet and once you're done with it going to Archive it and that's the end of it all right I hope this video was helpful to you all the resources are in the description below subscribe to the newsletter for the free GPT assistant that I mentioned and if you want to learn even more about CLA and see some of the examples that you could build with it like turning PDFs into websites or turning screens into animations or just creating games from scratch check out this video where I pointed out 21 use cases for claw 3.