How AI Sound and Music Generation Works
18:11
Ryanair: Flying High on a Budget
17:40
How AI Image Generation Works
15:41
Пікірлер
@stephensyengo2719
@stephensyengo2719 11 сағат бұрын
GREAT
@rajivbhusal
@rajivbhusal Күн бұрын
I am looking to change careers from biotech to bioinformatics or data science and I found this channel 😊
@ابوهشام-ت1ف9س
@ابوهشام-ت1ف9س 2 күн бұрын
🎉🎉🎉
@phoga6463
@phoga6463 3 күн бұрын
Such great production, storytelling and most importantly it got me to understand SDLC in 10 min! Thank you and keep it up!!
@TheGodOfLove
@TheGodOfLove 3 күн бұрын
i'm started learning to be an data engineering, thank you for your hard work. I'll be back and cmt here when i'm a data engineer
@ABDULKARIMHOMAIDI
@ABDULKARIMHOMAIDI 4 күн бұрын
Thanks !!!!!
@Musa1978K
@Musa1978K 5 күн бұрын
this is the best explanation ive seen on this topic. thanks guys!
@prompt_O.L.I.V.I.A.
@prompt_O.L.I.V.I.A. 5 күн бұрын
MUSIC is the KEY to A.G.I.
@icityhmoob
@icityhmoob 5 күн бұрын
How can i apply for the partner of Priceline?
@lorenzosiena91
@lorenzosiena91 9 күн бұрын
Tomorrow i'll Watch as many as video as possibile on this Channel, THANK YOU!
9 күн бұрын
Wonderful video! Nitpick: it can be a little misleading to think of large amplitudes as loud. Perceived loudness depends on both time and frequency. A common example is hi-hats which are perceived as less loud than someone screaming, even though the hi-hat amplitudes typically go higher than the vocals.
@markbalazo1914
@markbalazo1914 9 күн бұрын
This was well-made with detailed and easy to understand explanations. Awesome!
@chizobamagdaline3531
@chizobamagdaline3531 10 күн бұрын
This is great
@kemiadebiyi4
@kemiadebiyi4 11 күн бұрын
Well simplified and highly precise content. I love it❤.
@RukayyaMk
@RukayyaMk 11 күн бұрын
Very interesting and well explained we appreciated thank you ma.
@pmishraofficial
@pmishraofficial 12 күн бұрын
This is a really well documented video for any music & audio enthusiast to understand some key aspects of generative AI. It’ll surely catch viewership soon.
9 күн бұрын
Got here by your recommendation. Great video indeed!
@chrispineliaga6491
@chrispineliaga6491 13 күн бұрын
Amazing video. Im kinda interested in how this will impact the music industry going forward. Or even currently. Musicians will go from being talented individuals to just an image that portrays to us what an AI made
@Derpcat
@Derpcat 14 күн бұрын
That's a brilliant video, shame it doesn't have enough views
@damiaoverde8099
@damiaoverde8099 14 күн бұрын
Be careful! Booking is easy. Canceling is impossible. No refunds. Cancels trips without explanation.
@tanvirislam970
@tanvirislam970 17 күн бұрын
I want to make an ota in bangladesh with highest technology I have my own Iata .
@matthewiyoha8964
@matthewiyoha8964 17 күн бұрын
@edusson
@edusson 20 күн бұрын
Was just curious about corporate travel management and really appreciate the answers to many of my questions! Thank you!
@AltexSoft
@AltexSoft 15 күн бұрын
Glad it was helpful =)
@mikesolo1628
@mikesolo1628 21 күн бұрын
Very comprehensive and good summarized, thank you! 👍🏻
@JCPWorld
@JCPWorld 22 күн бұрын
Any advice on the easy path (minimum APIs or aggregators access) to launch a new Global Travel Portal to offer Flights, Hotels, Car Rentals, and Tours.
@that1guy782
@that1guy782 23 күн бұрын
Best damn video on the subject hands down 👏👏👏👏🏾👏🏾👏🏾🏆🏆🏆
@PrinceBulba
@PrinceBulba 23 күн бұрын
Thanks
@nkristianschmidt
@nkristianschmidt 25 күн бұрын
since the target variable was probability of job achievement, the model stuck unrecorded variables into sex. It likely needed to know more rather than be robbed of the sex variable. The model was scrapped and bias likely got worse bcs humans cannot balance information like machines.
@ouassildahimene4635
@ouassildahimene4635 27 күн бұрын
excellent content !!, 17min of easy and well explained knowledge, we need more channels like that.
@bharatht.s5525
@bharatht.s5525 29 күн бұрын
Greatly appreciate that fact of Intellectual property being highlighted which is questioned less or wven ignored by masses. As I have been wondering 1/ How or where did all these AI tools get data to show results for users without source of data being displayed or cridets shared to the content owners 2/ If no source is provided, have all the data showcased being generated and taught to the machine/AI by the AI Tool companies These are important questions to be answered, cause untill date google or other search engines used to Answer the question using the links or the source of website i.e. guide individual to respective websites or content. (Understanding the fact, their were some concerns which I might have not known) But with the AI tools, It would be such a waste IF the content creators time and effort for their research to share their knowledge with the masses being stolen in one or the other ways without their knowledge or respective credits being paid. I could be wrong with my comments, but these are my honest questions...
@AltexSoft
@AltexSoft 27 күн бұрын
These are good questions! Where do they get data? LLMs need extremely large data sets to work. ChatGPT, for instance, uses Wikipedia, books, open research libraries, official governmental documents, media articles, public forums, Common Crawl data (nonprofit web scrapper that basically saves the Internet), and many more data sources. So, yes. AI companies use somebody else’s work to train LLMs. And they don’t provide references to sources (unless the LLM compiles the response after a live search on the Internet during the conversation). Could they provide such references? With the way LLMs work today, most likely not. An individual response doesn’t draw from a particular source of information. An LLM doesn’t have a catalog of articles and books. In very simple terms, it tries to find the most statistically appropriate word that goes next, given the context. When you hear Winston, what last name comes to your mind first? If it’s Churchill, can you trace it back to some particular page you’ve read about him or history class? You’ve probably heard the name so often that it’s just a part of common knowledge without a specific source. Having processed billions of web pages, books, and articles, LLMs develop a similar logic. Is it equal to stealing? That’s a hot debate. Copying and slightly rewriting the work of a single historian on Winston Churchill is stealing. Generalizing the information from millions of pages, articles, and books about the prime minister? Well, that's what people argue about. We’ll definitely make another video on GenAI ethics 🙂
@bharatht.s5525
@bharatht.s5525 27 күн бұрын
@@AltexSoft Great insights , Thanks for the response. If they do provide Source, I think it would just be another Web search but more so with detailed answer with data for the question.
@074-vanshsoni-a4
@074-vanshsoni-a4 29 күн бұрын
🎯 Key points for quick navigation: 00:00 *The Software Development Life Cycle (SDLC) is a structured process for creating high-quality software, evolved from practices developed in the 1970s.* 00:12 *SDLC consists of six primary stages: planning, designing, development, testing, deployment, and maintenance.* 00:59 *The waterfall model, introduced by Winston Royce, follows a strict sequence of SDLC stages and is inflexible to changes but straightforward to manage.* 05:07 *Agile development emerged to address waterfall's limitations, emphasizing flexibility, iterative processes, and early and continuous software delivery.* 05:22 *Agile methodologies, such as Scrum and Lean, promote testing during development and reducing waste by minimizing unnecessary documentation.* 08:27 *DevOps combines development and operations, fostering collaboration and continual integration and delivery to streamline software release and updates.* 09:54 *CI/CD (continuous integration and continuous delivery) allows for frequent code integration and deployment, enhancing agility and responsiveness to user feedback.* 11:17 *Automation and integrated workflows in DevOps significantly accelerate the development life cycle, making software development highly efficient and responsive.* Made with HARPA AI
@blakeh.6120
@blakeh.6120 Ай бұрын
BEST DATA ENGINEERING EXPLAINER
@climentea
@climentea Ай бұрын
Damn... Congrats on all the people who worked on this video! Top quality!
@MisterPeace09
@MisterPeace09 Ай бұрын
product as per the video was demigorgon , haha
@bpospanov
@bpospanov Ай бұрын
Treasure!
@tytftfytfyf
@tytftfytfyf Ай бұрын
THANKS!!!! That is super useful content!
@pastuh
@pastuh Ай бұрын
For example, if we provide 1000 images of ducks, can they all be retained by the model? What if we provide 100,000 more objects, each with 1000 images?
@sahilsinghal9472
@sahilsinghal9472 Ай бұрын
This channel is awesome. They have another one on data engineering and is one of my all time favourite explainers. Thank you so much ❤ ❤ ❤
@hemantmattoo
@hemantmattoo Ай бұрын
Amazing video. Thanks for making this so easy to understand.
@hemantmattoo
@hemantmattoo Ай бұрын
Thank you for making it so easy to understand these concepts.
@hemantmattoo
@hemantmattoo Ай бұрын
Love the simplicity in which you present this. Makes the hardest to understand concepts so easy to comprehend.
@BlessingTerkura
@BlessingTerkura Ай бұрын
Nice
@BlessingTerkura
@BlessingTerkura Ай бұрын
Great lesson
@DBSQ-wb3ht
@DBSQ-wb3ht Ай бұрын
Ok so based on this video, I'm working on a project where I'm essentially all three. No wonder why I get so many headaches when i spend hours of my day on this thing.
@sandesh3273
@sandesh3273 Ай бұрын
Quality content. Love the animations and coverage of concepts without too much technical jargon. Looking forward to more videos from you guys. 👍
@BameKaosiMosimakoko
@BameKaosiMosimakoko Ай бұрын
Bro's a fan of Stranger Things!
@kamalmohamed6611
@kamalmohamed6611 Ай бұрын
underrated channel 🥹
@khaireddinearbouch3283
@khaireddinearbouch3283 Ай бұрын
Great Content🤩🤩🤩
@D_art
@D_art Ай бұрын
Why am i discovering this channel only now TTTTTT WAHH
@CarlosWashingtonMercado
@CarlosWashingtonMercado Ай бұрын
Great video.
@gingerjiang666
@gingerjiang666 Ай бұрын
This channel deserves more views.