I'm at  and he just said that he got docker, tensorflow and cuda running like wtf? You can't have CUDA without Nvidia GPUs and docker already addressed that they don't support Apple M1 chip yet.Wtf. He has no idea what the fuck he is saying I can guarantee.(00:00:49 - 01:06:21) - Deep Learning on Apple M1 Silicon LIVE

I'm at and he just said that he got docker, tensorflow and cuda running like wtf? You can't have CUDA without Nvidia GPUs and docker already addressed that they don't support Apple M1 chip yet.Wtf. He has no idea what the fuck he is saying I can guarantee.(00:00:49 - 01:06:21)
Deep Learning on Apple M1 Silicon LIVE

So what does the Deep Learning workflow on the new Apple M1 Silicon 'system on a chip' look like? I lagged out last week (so i just bought a new computer, totally fixed), and we are on for 2 streams this week. I just bought an M1 Mac Mini so we can find out together during this week's live game....
So what does the Deep Learning workflow on the new Apple M1 Silicon 'system on a chip' look like? I lagged out last week (so i just bought a new computer, totally fixed), and we are on for 2 streams this week. I just bought an M1 Mac Mini so we can find out together during this week's live game. We're going to be installing Docker, CUDA, Tensorflow, and looking into the internals of Apple's Neural Engine to see how it all works. Start studying Apple's Neural Engine & their ML Compute framework!

This week there will again be 3 winners. I will chose 3 people who answered 3/3 questions correctly to each receive $175 in BTC/ETH/USDC. Everyone on earth is eligible. Each of the questions will be related to Apple Machine Learning technology. Will we be able to build something useful? Find out live, see you then!

Sign up for Code Royale before we close the waitlist in a few days:
http://playcoderoyale.com/

Answer live questions here:
http://playcoderoyale.com/live

Join the Code Royale discord server to connect with other Data Wizards before & after the stream:
https://discord.gg/v8QqtPy3Af

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This week's study curriculum to prepare for the game below:

Gloss over Apple's ML Compute Framework:
https://developer.apple.com/documentation/mlcompute

Look at this Mac optimized Tensorflow code:
https://github.com/apple/tensorflow_macos

My friend George Hotz was streaming some amazing m1 hacking earlier, look through some of this:
https://www.youtube.com/watch?v=H6ZpMMDvB1M

Read the CUDA quick start:
https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html

------------------------------------------------------------------------------------

Learn Machine Learning in 3 Months for free:
https://www.youtube.com/watch/Cr6VqTRO1v0

Twitter: www.twitter.com/sirajraval
Instagram: www.instagram.com/sirajraval
Email: hello@sirajraval.com

This week's prize money was sponsored by Zilliqa:
https://dev.zilliqa.com/ - Zilliqa Developer Portal
https://scilla.readthedocs.io/ - Scilla Documentation Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
https://www.wagergpt.co

Siraj Raval

※本サイトに掲載されているチャンネル情報や動画情報はYouTube公式のAPIを使って取得・表示しています。

Timetable

動画タイムテーブル

動画数:471件

. - I Built a Sports Betting Bot (WagerGPT)

.

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:22 - 00:05:48
that’s an outdated player roster from 3 years ago buddy - I Built a Sports Betting Bot (WagerGPT)

that’s an outdated player roster from 3 years ago buddy

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @metalflames4 様 
00:02:22 - 00:05:48
fwiw they went 1-3 on those picks - I Built a Sports Betting Bot (WagerGPT)

fwiw they went 1-3 on those picks

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:40 - 00:05:48
😂 - I Built a Sports Betting Bot (WagerGPT)

😂

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @tennisprotrader 様 
00:05:22 - 00:05:48
the lie. any apple m* processor has it, even many phone processor have - Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)

the lie. any apple m* processor has it, even many phone processor have

Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)
2023年12月14日  @somerndid 様 
00:02:01 - 00:04:50
@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used. - DoctorGPT: Offline & Passes Medical Exams!

@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used.

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:12 - 00:18:13
@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset.  The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere? - DoctorGPT: Offline & Passes Medical Exams!

@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset. The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere?

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:21 - 00:13:12
@ you mention SFT with the base model, but the code appears to be using the chat model - DoctorGPT: Offline & Passes Medical Exams!

@ you mention SFT with the base model, but the code appears to be using the chat model

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:18:13 - 00:38:49