👉More on LLMs: kzbin.info/aero/PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0
@johnturner41289 ай бұрын
Have to say. Very clear and crisp delivery of material. I have been in software for 35 years … lots of great stuff. Not many have I run across with this guys rhetorical skills. Thanks!
@ShawhinTalebi9 ай бұрын
Thanks John! It's been a long road to get here 😅
@Anton_De_Swardt8 ай бұрын
Like many others who've commented, I've found my guide to the world of AI, LLMs, etc, thanks Shaw!
@ShawhinTalebi8 ай бұрын
Glad it was helpful! 😁
@ifycadeau Жыл бұрын
Finally! Someone explaining this well 🤩👏🏾
@ShawhinTalebi Жыл бұрын
Thanks, glad you liked it!
@aihome242 Жыл бұрын
after looking for a logical simple explanation over and over in videos and text you video has made the most sense, Thank you for explaining it like that!
@ShawhinTalebi Жыл бұрын
Great to hear! Glad it helped :)
@kaikiefer83038 ай бұрын
Well prepared and presented. This is super helpful and clear. can not wait to get started with a local LLM.
@serinevcim53906 ай бұрын
maaaan, you are explaining everything-every term that would make me feel like the most stupid person when I ask to another person. tysm!
@ShawhinTalebi6 ай бұрын
Glad it's helpful :)
@AniHunsaker7 ай бұрын
You're a real Ph.D. with extremely understandable way of explaining things you have an obvious expertise in.
@ShawhinTalebi7 ай бұрын
Thanks, glad it was helpful 😁
@krishnavamsiyerrapatruni53857 ай бұрын
Loving the series so far! I am 2 videos in and I feel like you are balancing very well between making these tutorials beginner-friendly and not giving just superficial knowledge.
@孙姣姣8 ай бұрын
What you said is what I've been looking for, It is very clear and useful, thanks very much!
@alokkale27182 ай бұрын
Just amazing !!! Don't have words to say . The absolute appealing content for the audience . Just nailed it.
@halle84510 ай бұрын
Thanks!
@ShawhinTalebi10 ай бұрын
Thanks so much! Glad it was helpful 😁
@sanaaroraa93153 ай бұрын
Really amazing explanation, for a beginner in LLMs it really really helps. Thank you so much!!
@jagtapjaidip87 ай бұрын
Thank you. Very nice information. I love your interpretation in the end about new genre.
@joachimguth6226 Жыл бұрын
Well sized, well explained, go on, it is exceptional in this line
@ShawhinTalebi Жыл бұрын
Thanks, glad you liked it :)
@ianbraganza30658 ай бұрын
Thank you very much for this video! It was super helpful, I can now leverage Open AI's API and this is a game changer for me. I'm also now going to listen to Roxette :)
@ShawhinTalebi8 ай бұрын
Their song was stuck in my head the whole time I was making this video😂😂
@60pluscrazy Жыл бұрын
This play list is so important 🎉🎉🎉 thanks 🙏
@ShawhinTalebi Жыл бұрын
Thanks, glad it’s helpful 😁
@girmayohannis46598 ай бұрын
Super guide and content.I ever liked this.I more expect in NLP tutorial text classification.
@satyamedicherla3236Ай бұрын
Very useful lectures!
@iamchiragdahiya3 ай бұрын
Loved it!
@ammar_maamoun8 ай бұрын
From Egypt that amazing pro
@lekhoi8 Жыл бұрын
Pretty cool, thank you 🤩
@ShawhinTalebi Жыл бұрын
Glad you like it!
@manishtiwari70663 ай бұрын
I am working as Data Engineer, I want to upgrade my skills and get AI/ML Engineer job. I attended few trainings in this but for beginners it is amazing videos.
@himanshupatidar804010 ай бұрын
awesome explanation.
@ShawhinTalebi10 ай бұрын
Glad it was clear 🙂 -ShawGPT
@puchki2015 Жыл бұрын
Hi, Can you please make a video of some real use cases of LLM with all the advanced features and code walkthrough. I really like your video because of the way you explain the technical and implementation details.
@ShawhinTalebi Жыл бұрын
Thanks for the feedback. Yes I definitely will. Here's what I have on my list, do you have any suggestions? - Text similarity using SBERT (request) - How to build a robust RAG system - How to fine-tune a model for domain-specific question answering
@spotnuru83 Жыл бұрын
@@ShawhinTalebi this will be of great help
@ajitdukale1980 Жыл бұрын
Amazing Explanation 👏👏
@ShawhinTalebi Жыл бұрын
Thanks, glad it was clear!
@johnturner41289 ай бұрын
Have a question. I have seen several surges in the software field over the past 35 years. One of the hardest parts of software developed by a company, for their use, is project management. A product owner see's some changes that will, ultimately, increase shareholder wealth, and writes them down. Lets say a scrum team is assigned the work ... in the case we have here - what are your thoughts on how AI can improve the predictability of quality tested software delivered on time? Again, software is software ... math is math. Thanks, John
@ShawhinTalebi9 ай бұрын
Great question. The best predictor of project timelines are the durations of past projects with a similar scope. I could imagine an data-driven (AI) tool that integrates into Jira (or the like) that gives project estimates given factors such as scope and available resources.
@amparoconsuelo9451 Жыл бұрын
May I know the following: 1) Can AI act as a code interpreter? 2) Can AI compile and link source codes? 3) Can AI code in different languages in one program? 4) Can AI be instructed to create codes in 8-, 16-, 32-, 64-, 128- and so on bit? 5) Can AI create a computer language and the compiler and interpreter therefor and operating system? 6) Can AI disassemble a Lisp, Fortran, COBOL, or Ada application and create the code for the corresponding compiler? 7) Can AI create a boot sector? 8) Can AI convert a CD and flash drive into start up devices? 9) Can AI make several copies of LLM? 10) Can AI do pre-training, fine-tuning and re-fine-tuning?
@ShawhinTalebi Жыл бұрын
AI is a broad term so I will try to answer your questions in regards to LLMs. (Most) LLMs simply generate text. Therefore, it alone cannot do many of the things you mentioned. However, by embedding an LLM into a larger software product, you can accomplish just about any of these things and call it an AI. Happy to chat more during office hours: calendly.com/shawhintalebi/office-hours
@usamaniaz2981 Жыл бұрын
Bravo! loved it...
@ShawhinTalebi11 ай бұрын
Thanks :)
@JayPrasad-tb9hq5 ай бұрын
I keep getting rate limit error help.
@ShawhinTalebi5 ай бұрын
You may need to set up a payment method and set a sufficient usage limit.
@batcnr693 ай бұрын
thank you so so much
@Aabdulnour014 ай бұрын
Does this still work?
@ShawhinTalebi4 ай бұрын
The API has been updated a couple times since I posted this example. See a more recent walkthrough here: kzbin.info/www/bejne/aoOkp32qaMuKpas
@amparoconsuelo9451 Жыл бұрын
Please display the full code and mention the Python version and system configuration.
@ShawhinTalebi Жыл бұрын
Code and env files are available here: github.com/ShawhinT/KZbin-Blog/tree/main/LLMs/openai-api
@brandonquinto48527 ай бұрын
'ging ist' is German, for 'went is' and I have no idea why that would be a completion
@ShawhinTalebi7 ай бұрын
Interesting! The Germans may be big Roxette fans 😂
@md.mizanurrahmanxendpdc.3698 ай бұрын
I just want to see the results first
@vcool8 ай бұрын
Should've used GPT-4, not GPT-3.5.
@ShawhinTalebi8 ай бұрын
I have an example with that here: kzbin.info/www/bejne/aoOkp32qaMuKpas
@mosihn-zj9gg4 ай бұрын
Iran?
@ShawhinTalebi4 ай бұрын
Born in Texas, but family came here from Iran :)
@mosihn-zj9gg4 ай бұрын
@@ShawhinTalebi Dear Shawhin ,I am proud of you❤
@pewpewpew11772 ай бұрын
cmon 😂, we are your viewers , let us use your 5$ 😂
@ShawhinTalebi2 ай бұрын
LOL, when I make my first million I'll give away $5 API credits 😜
@pewpewpew11772 ай бұрын
ayo , temp = 2 , is my drunk friend,😂
@ShawhinTalebi2 ай бұрын
😂😂
@knusperkrusteamstitzel725111 ай бұрын
The way you pronounced "ging ist" makes me believe you also speak german. Stimmt's?
@ShawhinTalebi11 ай бұрын
Interesting, my German is limited to what I learned watching a KZbin tutorial 😂
@fearai244 ай бұрын
why do you have very less subscribers? i think google hates you for not using word Gemini instead of openai
@ShawhinTalebi4 ай бұрын
I wonder the same thing everyday 😅
@fakecubed9 ай бұрын
Seems counterproductive to teach people OpenAI, which is anything but open, when talking about programmatically working with LLMs. You should steer people towards the actually open LLMs that can be run locally for free. OpenAI is eventually going to be going out of business, once people realize the downsides outweigh any ease of use and first-mover advantage they once had, and the venture capital dries up. The open models with better licenses are already outperforming GPT anyway, and their approach to the technology is rapidly becoming obsolete. Teach people skills that will actually be useful for the open source AI development that will still be around in the future.
@ShawhinTalebi9 ай бұрын
While OpenAI conceals their models behind their API, given the SOTA performance of their current models, there are still situations where using them makes sense (at least for now). I cover open-source technologies in other videos in this series: kzbin.info/aero/PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0
@jakewastaken8 ай бұрын
The last minute of this video mentions that his next video actually gets into that. That said, I’m hoping we get a Poe and Perplexity api video sometime too.
@colinnivisi-q5nАй бұрын
@fakecubed would there possibly be anyway to ask you a question or email you? you seem to have some advanced knowledge regarding AI and python implementation. I wanted to see if it be possible to get your input on a question I have? I tried going to your KZbin site couldn't find a way to contact, if possible would be greatly appreciated Thank you