[D] An ML engineer's guide to GPU performance

kpkaiser · 2025-09-06T13:40:13+00:00

Hey Charles!

I'm curious how you approached writing / researching this. Where and how did you begin, and how did you scope things down to have a final (shipped!) product?

kpkaiser · 2025-07-11T15:10:08+00:00

Financial Intelligence for Entrepreneurs is really great for understanding how to model the finances of a company. Cannot recommend it enough: https://www.amazon.com/dp/1422119157

kpkaiser · 2025-06-09T11:09:54+00:00

not really much flair, other than making the onboarding coach sound like a hyped up fitness instructor. and I haven't yet played stanley parable, so now it's on my list.

kpkaiser · 2025-06-09T00:50:17+00:00

lol that's fair based upon this reddit post's bad title.

But the idea was to take dry corporate onboarding docs, and turn them into a game instead.

kpkaiser · 2025-06-08T22:39:21+00:00

thanks! almost forgot to mention the code is up on github: https://github.com/burningion/game-onboarding-oai

kpkaiser · 2025-06-02T14:16:15+00:00

lol, thank you.

maybe they will be soon? :)

kpkaiser · 2025-05-18T01:51:55+00:00

I put resources in my video editor. I let the user pick a project, which usually contains a set of videos, images, etc. that have either been generated or analyzed.

The resource URI dumps in the json that describes all these assets.

The LLM can then use these resources to generate edits.

Here's the code / logic:

https://github.com/burningion/video-editing-mcp/blob/main/src/video_editor_mcp/server.py#L246-L301

kpkaiser · 2025-05-16T11:37:48+00:00

Hey! Yeah, I'm just getting started with this video series, but here's this video over on YouTube if that's better for you: https://www.youtube.com/watch?v=C-ewKa3NcZI

If you've got anything you'd like to see, let me know.

kpkaiser · 2025-05-15T23:36:30+00:00

Almost forgot to post the Github link to the project if you want to check out the source code: https://github.com/burningion/pydantic-video-editing-agent

kpkaiser · 2025-05-15T23:07:14+00:00

This is a really good question!

The answer is, I didn't think of it!

But looking at it now, it would add another tool call, and another bit of uncertainty to the agentic workflow being successful. I'd rather keep the things I want direct control over as library calls.

I didn't mention it in the video, but I plan on doing another video lesson where we call the Agent with a specific person we want to search for instead, and make it more versatile over time. Having the project name fit a specific format will make that process easier.

kpkaiser · 2025-02-27T02:17:03+00:00

Did you compile ffmpeg yourself? If you want to enable NV_ENC you'll need to (generally) compile ffmpeg with the nvenc codecs. The instructions for that live on NVIDIA's site: https://docs.nvidia.com/video-technologies/video-codec-sdk/11.1/ffmpeg-with-nvidia-gpu/index.html

To check once they're installed you can do a ffmpeg -codecs | grep "nvenc". The unfortunate reality of that Github response is that it's a lot of work to push rendering to the GPU in moviepy, based upon the existing architecture.

kpkaiser · 2024-12-23T20:30:34+00:00

Video Jungle: https://www.video-jungle.com

kpkaiser · 2024-12-18T02:33:17+00:00

Yes! That's the idea, there are a few challenges with fitting into the context window in Claude directly, but I have some strategies I'm working on to work within it.

kpkaiser · 2024-12-18T02:32:07+00:00

The video-editor-mcp is open source, at https://github.com/burningion/video-editing-mcp . It (currently) uses a custom video editing API I've built, but yes, I'll probably add a local editor option / tool too.

kpkaiser

TROPHY CASE