Backprop @trybackprop

Break into a career in AI/ML with Backprop’s blog and resources trybackprop.com San Francisco Joined May 2024

Tweets

156
Followers

238
Following

31
Likes

33

Backprop @trybackprop

7 months ago

@rahulgs > Hearing Meta engineers are forced to use Llama 4 That's incorrect. They can use any model they want.

0 0 0 8 0

View Details

Backprop @trybackprop

7 months ago

One of my favorite visual explainers of the year that explains cross entropy and KL divergence extremely intuitively: youtube.com/watch?v=KHVR58…

1 0 1 152 0

View Details

Backprop @trybackprop

8 months ago

@goodfellow_ian @rogerpasky That's wonderful to hear @goodfellow_ian ! Did you do anything in particular to reduce the symptoms of long covid?

0 0 0 40 0

View Details

Backprop @trybackprop

8 months ago

Eight more questions listed in the post: trybackprop.com/blog/11_real_m… Check it out!

0 0 0 81 0

View Details

Backprop @trybackprop

8 months ago

category: Content understanding, multimodal question: Design a platform that outputs image and text content understanding of a social media post.

1 0 0 100 0

View Details

Backprop @trybackprop

8 months ago

New blog post! 11 real ML interview questions asked at FAANG: trybackprop.com/blog/11_real_m…

1 0 0 139 0

View Details

Backprop @trybackprop

a year ago

There are multiple interactive widgets to learn the key concepts of surprise and entropy.

0 0 0 258 0

View Details

Backprop @trybackprop

a year ago

Check out my new article on cross entropy. This is a key topic that OpenAI/Anthropic ask during the ML research engineer/scientist interview: trybackprop.com/blog/2025_05_3…

1 0 1 360 2

View Details

Backprop @trybackprop

2 years ago

I fed a technical analysis of DeepSeek-R1 from r/LocalLlaMA into DeepSeek-R1 asking it to reason about the impact on Nvidia's stock price. Here was its answer: Net Positive for Nvidia 🧵

1 0 0 410 0

View Details

Backprop @trybackprop

2 years ago

@Yuchenj_UW Agree! Which is why I wrote this blog post about Alec and others this past summer, in hopes of inspiring future contributors! trybackprop.com/blog/2024_06_0…

2 2 19 3K 21

View Details

@tunguz A good source on this would be IEEE’s profile of Morris Chang from 2011: spectrum.ieee.org/amp/morris-cha… “In 1983, with…Chang sidelined as head of “quality and people effectiveness,” he knew his path at TI no longer led to the executive suite. He decided to leave.”

0 0 0 56 0

View Details

Backprop @trybackprop

2 years ago

@saranormous Bill Dally, Nvidia's chief scientist, touched on this topic when he gave a talk at the University of Washington in 2023: youtube.com/watch?v=kLiwvn…. His take is slightly different. "It's illegal to ship [H100] to China, which is actually the wrong thing to do".

0 0 1 138 1

View Details

Backprop @trybackprop

2 years ago

@armankhon Most of the engineering VPs at FAANG also self-studied ML as well as it got increasingly important from a technical and business perspective.

0 0 1 100 0

View Details

Backprop @trybackprop

2 years ago

Great video on Anthropic's mechanistic interpretability research, which attempts to explain what concepts LLMs are learning. Also contains an easy to understand and concise visual introduction to transformers. You'll feel smarter having watched it: youtube.com/watch?v=UGO_Eh…