Read more in my full blog post: www.builder.io/blog/build-ai #ai #developer #javascript #python #figma
Пікірлер: 324
@navidmafi7 ай бұрын
"don't use AI as long as possible" nailed it. use AI as a tool for solving specific sub-problems when needed. not for the entire problem
@opusdei11517 ай бұрын
Thank you for the translation :D I dont know but I didnt get his point
@FatherOfTheParty7 ай бұрын
Right, defer design decisions until you need to make them. Uncle Bob would be proud.
@businessmanager76707 ай бұрын
only for now. but not in the near future. it will solve entire problems by itself. like for example if an artist and a team of artists work together to create a photorealistic 3D image based on planning, would at some point be considered an entire problem. but now top models can get photorealistic outputs in seconds, where the picture is indistinguishable from an actual photograph. so it replaces the hours of work and problem of an artist or an entire group of artists, and finishes it faster than them
@heroe14866 ай бұрын
@@businessmanager7670 No, that's just your 2 cents prediction, which is probably only applicable to very simple use cases, the first problem being how do you input what you really want (that part is ironically commonly called "code") and then the result also have to match that, which is far from actually being accurate, also needs to be coherent with the full picture which is another challenge Same for your artistic example which may not suit the standards the team is aiming for, producing an output doesn't mean producing an output you like, unless you're speaking about simple use cases and aren't picky at all.
@businessmanager76706 ай бұрын
@@heroe1486 not it can be applicable in complex cases too depending on how much better the ai systems get in intelligence. we have only Seen improvement and increase in intelligence and not the other way around. so my prediction is based on Evidence. and for the 2nd point you made, sure when subjectivity is involved then it is not necessarily the case that one will like the output produced by the ai although it may accomplish the tasks that you intended, but that's in the same exact way that another human who is smart can make something for me and although his product accomplishes my task, i may not necessarily like it or the way it works. LOL
@MrDonald9114 ай бұрын
As an AI engineer with an experience of running businesses I feel the need to comment. I think saying " you should differentiate by building a more complex solution" is not necessarily a good advice. Many times you will find people that sell very naive and simple software and printing money because they have really good distribution. You can also find an amazing piece of software without clients because of very poor distribution and go-to-market strategy. I think the best scenario is when you have differentiation in your software AND good distribution. Which is what you're doing by creating content on your youtube channel about your AI solution ;)
@johndeterman40637 ай бұрын
Given that Open AI just killed a bunch of startups and the dreams of people hoping to make a quick buck, this advice is very timely. Well said, excellent advice that really hits home.
@brainmaxxing17 ай бұрын
I've heard this wording so much, but they didn't kill anything. Those startups were not sound from the very start. Basing your product on the single API of another company to do most of the work with no exit plan is incredibly risky for a business.
@KunjaBihariKrishna7 ай бұрын
@@brainmaxxing1 or as we say, colloquially, those people were idiots
@thefattysplace7 ай бұрын
@@brainmaxxing1agreed, it's basically just repackaging and selling for a higher price. Even in the non software market, that's incredibly risky, especially if you only have 1 product from 1 supplier!
@kingh326 ай бұрын
Yeah, this wording misrepresents what’s been happening here. OpenAI absolutely should continue to improve and iterate upon ChatGPT. The fact that an entire startup can be ‘killed’ by the addition of a feature should be the tell here
@XEQUTE5 ай бұрын
What did they do??
@jimmy215847 ай бұрын
In my experience, 90% of what customers are asking for is “put a chatbot on my website”. They’d rather drop a few cents per interaction and throw the problem at OpenAI APIs, than pay a dev to setup and maintain a chain, do fine tuning, train a model etc. If it ever scales up, then the value add would be optimization. But in the case of building a product business around AI, I totally agree with you.
@MattVibes5 ай бұрын
Well that’s a good example of a model which is not worth training yourself: chat. It’s fast enough, probably cost enough due to the speed at which a user can ask questions and definitely worth it (it’s cost effective vs paying an agent)
@MagusArtStudios6 ай бұрын
I built my AI API on top of vector Databases with zero-shot classfication to determine which AI model to use for the specific task.. You can pass label variables such as ["Greetings","Coding task","Search query"] . This can reduce the cost of running your AI chatbot service. Plus if you design a smaller local model that knows when it doesn't know the answer you can outsource to a different model with zero-shot classification.
@SpectralAI5 ай бұрын
As someone who has been writing software for 3 decades, I agree with your approach. You can’t just throw AI at a problem. Automation is more than just AI.
@tjrobertson98077 ай бұрын
Wow! Super impressed with this video. It's an ad masquerading as an educational video, but it's done so well I don't even mind. Great information!
@theRealBeatJunkie7 ай бұрын
Yeah. If all ads were this informative, I'd watch more ads ;-)
@vncntjms7 ай бұрын
Hot take: Don't overkill your apps with #AI just for the sake of calling it an "AI app/company".
@lastworlddeer7 ай бұрын
yeah, even a little bit of AI is enough.
@_PatrickO6 ай бұрын
Business people love buzzwords. The real issue is hiring vapid business people instead of engineers to be CEOs.
@AntoshaPushkin5 ай бұрын
Wtf, why did you write it as a hashtag?
@BingyangWei6 ай бұрын
Google's Rules of Machine Learning #1: Don’t be afraid to launch a product without machine learning.
@julo.parapente7 ай бұрын
I love that you encourage being conservative about AI usage. I feel like way too many projects have AI just because it's trending, without considering the utility vs computational cost / determinism.
@edgeeffect7 ай бұрын
This is always the way with trending technologies and wonder how many developers out there still wade through hell every single day because someone decided their tiny startup needs to be powered by microservices for no good reason.
@FatherOfTheParty7 ай бұрын
4 minutes into the video, I captured the URL and sent it to my development team and said. "Stop what you're doing, watch this. This guy knows stuff."
@pz80876 ай бұрын
Love your tone, speed, clarity, style of presentation and most importantly, confidence in your voice because you have done it yourself and did a great job. Kudos to you Steve !!
@yassine57716 ай бұрын
I like how his promoting his business and making valuable content with really help information at the same time.
@IanMathaiya7 ай бұрын
This made me think in a whole new perspective, thanks for making this video. Please make a video on how make your own LLM or AI model.
@dannegrusa26916 ай бұрын
Great video! Adding your own value is what differentiates a good business from a poor one! How did you train the image recognition model to the point it’s accurate without the very pricey GPU power needed for training an accurate model? Is the more specific your problem is, the less data you need to train it?
@Canna_Science_and_Technology7 ай бұрын
FYI there is a failure of direct retrieval with GPT-4 using the new OpenAI Assistant API. GPT tokenizes text and creates its own vector embeddings based on its specific training data. The new terms and sequences may not connect well to the pretrained knowledge in GPT's weight tensors. There was no semantic similarity between the new API terms and GPT's existing vector space. This is a fundamental issue with retrieval augmentation systems like Rag - external knowledge is not truly integrated into the model's learned weights. Adding more vector stores cannot solve this core problem.
@AkaThePistachio6 ай бұрын
very good point. hadn't really thought of indexing like that before. Its kind of like a memory cache that stores extra info on top of the LLM, but its not permanent and needs to be added to any request sent to the model
@harishdeivanayagam7 ай бұрын
Great content Steve. This is really an honest opinion on LLMs. Thanks for sharing.
@HistoryIsAbsurd5 ай бұрын
Thanks for this. Its still over my head to actually implement but definitely saving for later when im ready!
@minfawang14355 ай бұрын
Love it! Side question, what is the tool you use to build the diagrams for this video?
@brosauce28145 ай бұрын
Nice video! In my project I use only one LLM but I do a lot of embedding beforehand, what are your thoughts on this approach? It is worth noting that my input output is entirely text based, usually one paragraph both ways.
@remi-avec-un-i7 ай бұрын
Already read the blog post this morning, found it very good ! So good that, when I saw the video on my youtube feed, I click on it to be sure to not miss any infos ! Great work 🔥
@othmangacem69257 ай бұрын
great insights! especially when you give example how to train your own model to build websites.
@KunjaBihariKrishna7 ай бұрын
I've been saying this for months. That you need to use multiple custom models in combination. Easier said than done though
@arwildo6 ай бұрын
I appreciate you actually revealing your business approach
@realdesign2423 ай бұрын
🤡s
@flashnani7 ай бұрын
Thanks for the video , looking to learn how to do what you did in the video , where can i find more information
@origarin49156 ай бұрын
Excellent video. One issue you haven't mentioned is explainability (even though it's related to debuggability). Very important and becomes nearly impossible with a big black box model.
@heroe14866 ай бұрын
Was having the same thoughts, was thinking about some AI projects and when searching on Google to see if it has already been done there were always plenty of results who were just basically an input form and a submit button to feed it to GPT3/4 API and get a basic response. It's all about tge whole pipeline to get something useful and original, thanks for the real world showcase
@melkaouianas56337 ай бұрын
Thanks Steve for the free advice ! your awesome !
@januariopinto_7 ай бұрын
"Use the location of the image as output data, and the screenshot of the image as the input data" 🧠. Great video as always. Would you be able to expand a bit on what your LLM do btw? I'm still not sure what happens between the "initial code" and the "customized code", I haven't tried Mitosis, but I'm assuming it generates good enough code? 🤔 Mitosis itself is pretty interesting, the fact that you transform your generic code into multiple frameworks 👌✨
@ComfyCosi4 ай бұрын
Hey man great video, but when editing and/or cutting out filler words can you cut more of the dead space as well? The dialogue ends up with weird pauses every 10 or so syllables
@maharshipandya6218Ай бұрын
This video was very well put together. Really liked your articulation.
@snoopdoggfanclub7 ай бұрын
thanks for the info.. i'm thinking that they are not charging you for how much data the model is trained on, cause it doesn't affect inference cost.. but i'm not sure maybe they amortize in the training cost
@yadusolparterre7 ай бұрын
Thank you Steve that's a great vid ! Will you show us how to do that ?
@hongnongthanh54897 ай бұрын
Thank you, as a newcomer to this field. Your shares help me a lot 😎
@joshismyhandle5 ай бұрын
Excellent stuff, mate. Thanks for sharing your experience.
@kimaegaii2 ай бұрын
Great video. I got a bit confused where you said you could use Google's vertex ai, in which part of your project would that be useful?
@d7writes7 ай бұрын
Love this! A fantastic, well-thought-out opinion. Thanks for sharing!
@johnnysitu7 ай бұрын
Pure gem as always, love it! Thank you Steve!
@baobaobiz6 ай бұрын
One of the most insightful talks with example that I have seen on AI and productisation. This aligns with the books and talks that I have consumed over the years, most notably from Andrew Ng's lectures and textbook. For all those reasons precisely outlined in the talk, it's first principle to see any system composed of specialised components, a philosophy Unix itself demonstrate. Thank you for all your finding and sharing!
@mrkostya0086 ай бұрын
Everything said is absolutely on spot and excellently told of. But. Man, just using that OpenAI API is so much easier.
@charisma.builderr5 ай бұрын
To make sure that I understand your point, you mean to avoid only connecting with LLM such as open AI but to build a unique customized product by keep training the machine to reach the fine tuning level of product right?
@Xpert857 ай бұрын
Quality insights with great examples. Fantastic video 😊
@languagepool-germanusingli99027 ай бұрын
I'd love to know what software you are using for drawing your attractive system models.
@user-uk6th6pm2j6 ай бұрын
Thanks Steve. Great video. While listening it boosts my confidence and makes me calm.
@titusfx7 ай бұрын
I do the same approach. Your tool has some good auto responsive, but others are really bad. I would suggest that instead of trying responsive directly, try to generate first a wireframe from the component and try to do the responsive there and convert back. The wireframes are easier to do responsive, and there are a lot of examples out there. Also, converting to wireframe I think it is an easy task. You can find opensource plugins for auto wireframe or plugins for skeleton and start from there. Thanks for sharing your thoughts.
@richardantao32497 ай бұрын
Finally, someone said it. Nailed it with this one Steve🔥
@CreatePlayGames6 ай бұрын
question where did you forked your LLM model, i mean a generic LLM where we can start training it to focus on specific problem or task?
@smylmrz7 ай бұрын
I'm just blown away. Great work!
@tirthb6 ай бұрын
Thanks for sharing the journey. How do I link LLM. Use langchain?
@ds9207 ай бұрын
You may want to take a look at my auto-batching compute router, and the agent-os API as well
@electra_6 ай бұрын
I could also see a benefit to creating a "toolchain" with only certain parts using AI as the ability to override that AI if it makes a mistake. I think one of the biggest flaws of AI is that while it can produce incredible results, it is never "guraranteed" to work in the same way that a lot of normal algorithms can be guaranteed to work through rigorous logic. This is why AI is best suited for subjective applications where you really need to understand user's intent in a way not possible with normal code. By using AI only in specific points, it opens the way for a user to more easily tweak the results to their liking. For example, in the website builder product, if a full stack AI produced a website which combined images in an awkward way the user didn't intend, the only recourse would be to either go in and fully edit the code to fix the issue, or to edit the FIGMA model and hope the AI interpreted it better the next time. But with the AI being localized to the specific selection of images, it would probably be possible to have a manual "merge elements into image" function which would specifically override the AI's decision about which elements combine to form an image, and then plug this result into the rest of the model which can create this image in the resulting code. I've been saying for a while that while AI is really useful as a tool, it is not always the most accurate and any AI product needs to consider what AI is good at, what it might get wrong, and how best to implement it in a way that allows the user to check/fix the result of the AI if needed.
@giorgos-45156 ай бұрын
That's what im trying to tell everybody but people just seem too invested in it, from professors to students, to random business people, if AI takes over, there will be no Quality, especially in software
@NdamuleloNemakh7 ай бұрын
This is great advice, wish more people see this before it is too late!
@FernandoMoreiraR6 ай бұрын
This had some great insight, thank you for that :)
@lucaZ3217 ай бұрын
This is the most interesting video concerning creating AI apps that i've seen in my life, thank you Steve :D
@TAGIIMATTHEWАй бұрын
that was amazing, thank you! definitely going to be checking in on all your other videos! keep it up! *cheers! might need some advice tbh... but shall see... thank again!
@ewer3 ай бұрын
Awesome. I think exactly like you about how to use AI to develop inovative products. Can you detail a little more which model you used as a base and some steps on how to train it?
@i_youtube_6 ай бұрын
Question: Which programming language do you recommend to build AI powered web apps?
@mostafaokasha99444 ай бұрын
This is one of the most underrated videos I have seen in a while. The breakthrough at @9:30 was awesome! Keep it up.
@iyifr2 ай бұрын
How do you make the excalidraw-looking visuals in your videos and sites?
@cook54365 ай бұрын
Congrats Steve, your product is very impressive! How many devs are working on it?
@puyakhalili3 ай бұрын
Incredible video. Thank you for the insights 🙏🏼❤️
@MagnoliaBeats7 ай бұрын
Great video and explanations, subscribed!
@DardanAirlines6 ай бұрын
Do you use OpenAI to generate the learning data?
@numbaeight3 ай бұрын
you are definitelly right !! thats the way to go, awesome job you did here
@giacomodelillo17197 ай бұрын
Suggestion on technologies that can integrate well on a toolchain ?
@MathieuDuchesneau4 ай бұрын
That was really insightful. Thank you.
@sirisaac87277 ай бұрын
How to get into building these specialized models? I am a backend dev, interested in AI but only in my spare time. How deep is the AI rabit hole?
@joshuagermon21697 ай бұрын
Steve, this is an incredible video. Thank you for sharing.
@ricardosepulveda49477 ай бұрын
Wonderful insights. Congrats!
@RobShocks3 ай бұрын
What a fantastic video, great overview and thinking.
@sshlich3 ай бұрын
Such a cool video, fresh, ty keep it up!
@anamartins2813 ай бұрын
I usually don’t comment on videos, but man you nailed it! Thank you 🙏
@KhalilMuhammad6 ай бұрын
Excellent tips. Even more impressive product. Well done
@AkaThePistachio6 ай бұрын
Given that events that have occured in the last few days im now very weary of using OpenAI going further. With Sam Altman's departure the company seems like it could fail miserably now, and microsfot has just brought him in to build in house tech.
@muhawenimanajanvier62807 ай бұрын
I wish I saw this video a few months ago, but thanks for the great work.
@BlackHoleInstitute6 ай бұрын
Prieceless piece of notes! Thank you, man. These are exactly what I have thought about.
@imacuser1016 ай бұрын
Nailed it dude! Awesome video!
@user-xc1yr9kh9o2 ай бұрын
Could u make a longer tutorial about this?
@emanuelsanchez75087 ай бұрын
I appreciate this video, this is something I was thinking about
@Euquila7 ай бұрын
Think of AI as an improved querying engine. It's *so* much improved that you could integrated much more closely to the overal system (unlike something like classical search engines).
@edgeeffect7 ай бұрын
I'n my own use case, I really really really miss the times when a search engine would JUST search for the words I type... things started to go astray when the default combiner became OR, not AND and by the time they've added all these "clever" algorithms to substitute my words for more "popular" choices and give me content that some pattern-matching engine has determined is related to my words... search engines have became worse than useless.
@heroe14866 ай бұрын
@@edgeeffect That's without even mentioning all the crap that comes in the first page which is basically the equivalent of those boring medium articles in programming but also for every other subject
@sanjidtoki29715 ай бұрын
This cleared so much confusions! i'm gonna refer this video as one of the best Videos on AI build.I have an incredible passion for genearative AI. Your words are gem.
@athsarafernando6 ай бұрын
This video gave me a lot of advices which I couldn't get from others 😊
@Joelhotsauce883 ай бұрын
This is gold - thank you!
@Leonardo_A15 ай бұрын
Thnaks a lot for experience feedback. Please create more :-)
@themuslimview6 ай бұрын
This is absolutely amazing. And you're 💯 correct. I am building a product myself, and yes, I have learnt recently myself, that let alone custom trained models, even GOFAI (Good old-fashioned AI) or expert systems can often get a job done in a fraction of the time. So yes, I guess this video just gave me more confidence in my own approach. I'll absolutely try to build what I can from scratch before going to the API call. All the potential pitfalls you highlighted such as performance and cost are absolutely essential to consider for my case, since I am building for a 3rd world market and a real-time use case. Thanks a lot. You're awesome to share this. This was an the easiest subscribe of the year for me. Keep it coming my man. You rock.
@yaroslav_holub7 ай бұрын
Дуже цікаво, дякую. Продовжуйте творити випуски.
@biancapietersz6 ай бұрын
With all of the outage and DDos attacks, it showed huge vulnerabilities with relying on OpenAI. Cost is definitely a factor and customer LLMs will not be maintenanced as much as the foundational models with so much staff constantly working to making it better. I think it would be hard to compete.
@defaultdefault8126 ай бұрын
this is why you use private cloud infrastructure i.e Azure OpenAI.
@biancapietersz6 ай бұрын
It's definitely something I' goin to be looking into. I expect it to come with a heftier price tag so Ive been somewhat avoiding it @@defaultdefault812
@LaminarRainbow3 ай бұрын
@5:36 On that point, for the curious, the KZbin algorithm is not just one algorithm either, it’s many.
@mattiarasulo99347 ай бұрын
Unfortunately it crashes for me but I like the mental approach!
@himenatika2 ай бұрын
Requirements analysis is crucial in all systems, but in GenAI it seems obligatory to not pack the solution with high costs of model. Choosing good model and defining the usage from functionality point of view is most important.
@150nitrodudeАй бұрын
This is brilliant, and the model
@awakenwithoutcoffee3 ай бұрын
very smart solution how you used the html to locate their position and overlay it with the screenshot. Your approach of not relying on AI is something I highly share. I am developing a SaaS of which the current codebase is 100% code but I know AI can improve it massively trough Image classification. I am really curious how to implement the AI once you train it. Is this done trough an API route ?
@parkerrex6 ай бұрын
Great video -- also good demo!
@PaulanerStudios6 ай бұрын
To the choice of example with self driving cars I want to say: It's true that systems are built this way at the moment. Compositions of small highly specialized AI models. But that is no indication that it's the right or even a good way to build these systems. The best analogy I have is, if you want to build a chess engine. Do you build an AI that becomes super good at moving rooks? And another one that is an expert at moving pawns and queens and so on? And then glue them together using conventional code? Off course not. My end to end system that plays any piece using a large network will always beat the ensemble of expert models.
@geniusloaded7 ай бұрын
This is quite possibly one of the best videos on KZbin today!
@sachinp88473 ай бұрын
Thanks very informative gave me a new perspective to solve problems
@samuelparry57367 ай бұрын
Every single one of your videos are such high quality and always provide such unique and interesting insight. Awesome job Steve 👏
@davidbergband3 ай бұрын
I have to say this is such an effective way to market your product. Offering legitimate advice and not just trying to beg people to be interested in it. Or maybe it’s not even your intention to market it because I don’t know if people who would watch these videos are in the UI / UX space but either way it comes across as genuine and helpful!