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This channel aims at providing AI tutorials and hands-on learning experiences for everyone. In particular, I hope following messages come across clearly:
'Everybody can do AI'
'AI Made Easy'
'AI Innovation and Democratization'
'Grow your interest in learning AI and Data Science'
'Have fun with AI' !
AI Content Detection
18:34
11 месяцев назад
Комментарии
@NanaR504
@NanaR504 2 месяца назад
Good thing you added CCaptions.. hard to understand as your voice is muffled.
@ibrasoetandyo728
@ibrasoetandyo728 6 месяцев назад
Why when i export the clip, it doesnt show the same fps, its very jaggy
@gopalrk4320
@gopalrk4320 7 месяцев назад
good one... did you try converting it into a mobile app?
@levidizon3201
@levidizon3201 10 месяцев назад
Very useful thanks!
@wellwisher5171
@wellwisher5171 Год назад
Thanks
@Progenix
@Progenix Год назад
Do you have a link to your code?
@aitutorials2681
@aitutorials2681 Год назад
I am posting the link to ppt/code as the description note under each video. Here it is, plus config file and some dummy sample files - feel free to use any documents you like for testing: drive.google.com/drive/folders/1bf6sKlfzfxm5QnVd0RA3MjIFpNK1j-jd?usp=drive_link
@msalama
@msalama Год назад
thanks, how to make it faster so we can use it in real time applications
@aitutorials2681
@aitutorials2681 Год назад
Next step I am going to try GPU machine to see if big difference.
@aitutorials2681
@aitutorials2681 Год назад
@msalama, Tested on a GPU server, the result: GPU: 26s audio clip -> 66s processing time: ratio 2.53 CPU: 5s audio clip -> 30+mins processing time: ratio 1800/5=360 GPU:CPU speed boost = 360/2.53 = 142 times faster!
@gnosisdg8497
@gnosisdg8497 Год назад
thank you for this !!! keep up the great work !
@aitutorials2681
@aitutorials2681 Год назад
Sure thing!
@hocodo
@hocodo Год назад
good job. your voice sounds like you are a chinese man! Am i right ?
@gnosisdg8497
@gnosisdg8497 Год назад
what could be more interesting friend if you can use local installations of models such gpt4all so all the data remain local !that would be fantastic !can you please give it a try ?
@aitutorials2681
@aitutorials2681 Год назад
Certainly it is a brilliant idea to try gpt4all with all the benefits of running it on consumer cpu and keeping your data locally! In the meantime, will this open source have the same performance and generation quality as chatgpt? Reckon there is always a tradeoff there, depending case by case. But again it is a very good idea and I will find time to give it a try!
@gnosisdg8497
@gnosisdg8497 Год назад
great stuff !!!keep it up
@motorkeceh982
@motorkeceh982 Год назад
Is the AI must chat gpt 4 token, sir?
@aitutorials2681
@aitutorials2681 Год назад
This question is not clear to me. If you meant tokens, yes, chatgpt (gpt in general) uses both tokenization and embedding techniques to convert natural language text/code into an abstract mathematical representation of data (called tokens e.g. sub-words and embedding vectors) ready for AI to learn and process.
@user-jc6tj2xt1p
@user-jc6tj2xt1p Год назад
Is this free?
@aitutorials2681
@aitutorials2681 Год назад
It's free for personal hobby and research purpose.
@DC-wr3pq
@DC-wr3pq Год назад
Siri Shortcuts app is awesome. Lmao
@aitutorials2681
@aitutorials2681 Год назад
Glad to hear you like it - have fun!
@motorkeceh982
@motorkeceh982 Год назад
Hello I'm new subscriber an I want to learn about Ai stuff, can you give me some advice? maybe what I have to learn , btw I'm do not have a basic programer skill Thanks you
@aitutorials2681
@aitutorials2681 Год назад
Sure, here is some concise tips, hope it’s useful: 1 Pick up basic computer skill. Learn basic programming concepts and syntax, preferably using a data science language like Python. You don’t need to become an expert programmer, but it’s important to have a basic understanding of programming concepts. Check out the free learning resources I shared including Python, R, AI/ML/NLP ebooks and learning material here:drive.google.com/drive/folders/1ez7EKwF9doLA3cVFjZzpBS03xCXkvkYp 2 Familiarize yourself with the fundamentals of AI, including key concepts and terminology. Plus basic statistics. Google it and you will find many. 3 Take online courses and tutorials to deepen your understanding of AI. Some popular platforms include Udacity, Coursera, and edX. Search for data science, Python, machine learning, AI, NLP courses. Many courses are free to learn if you only ‘audit’ it. If you want, you can also deep dive to get certificate on some AI specialisation courses/mini programs. 4 Practice by building small AI projects. E.g. Following my tutorial series and hands-on notebooks step-by-step to do reproducible research and stay up-to-date on the latest developments in the field. 5 Join online communities to connect with other AI enthusiasts e.g. Kaggle
@motorkeceh982
@motorkeceh982 Год назад
@@aitutorials2681 omg it's so nice information, thank you bro
@aitutorials2681
@aitutorials2681 Год назад
@@motorkeceh982 You are welcome!
@JacquesBOULOGNE
@JacquesBOULOGNE Год назад
No Sound ? 🧐
@aitutorials2681
@aitutorials2681 Год назад
Fixed. Pls. find voice version at ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-wn5YgwKe0Is.html
@akshaysrivastava1823
@akshaysrivastava1823 Год назад
How can we make more realistic voices. Can we train it on our own data??
@aitutorials2681
@aitutorials2681 Год назад
Yes, you can train a TTS system on your own data to produce more realistic voices. This is known as "speaker adaptation" or "speaker-specific training." By training a TTS system on speech data from a particular speaker, you can create a voice that is similar to that speaker's voice, producing more natural-sounding speech. However, training a TTS system on your own data can be challenging and requires a significant amount of speech data, as well as expertise in TTS and machine learning.
@trilokinathprasad1949
@trilokinathprasad1949 Год назад
@atultanna
@atultanna Год назад
Is it possible to code to scrape Google Autosuggest Keywords
@aitutorials2681
@aitutorials2681 Год назад
It is possible if you can in some way access Google Autosuggest corpus, which is supposed to be internal, huge and daily updated dataset of all Internet search queries.
@skwerone
@skwerone Год назад
Which one is the best for summaries? If it depends on what and which one?
@aitutorials2681
@aitutorials2681 Год назад
Really it depends on the problem domain and text data. Try PKE first as it has a good zero-shot prediction performance if you don't know much about the text data to extract. Then check out the latest ChatGPT as per my introduction (ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-c0ano9D9Woo.html).
@stabilitylabs
@stabilitylabs Год назад
Is like surfer seo?
@aitutorials2681
@aitutorials2681 Год назад
SEO is one of many typical use cases of keyword extraction. Yeah, surfer seo is a cool tool with 'keyword' built-in but it is a 'black-box', whereas many open-source tools were introduced here and you have full control on how/what keywords will be extracted for your specific purpose.
@atultanna
@atultanna Год назад
@@aitutorials2681 Would like if you could share the code for Best spin bikes for .... and what results come out Thx