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charlesischuck

Re:Ask HN: Who wants to be hired? (December 2023) on Friday December 01, 2023 @07:35PM (#38494552)
Location: Menlo Park CA Remote: only if consulting Willing to relocate: no Technologies: full stack deep learning Résumé/CV:

Hi I'm Charles. Good at whatever I am currently interested in. I'm looking for consulting work or just a chat if you're looking for advice.

I'm currently interested in full stack deep learning systems for customized LLM work.

Before that I fully designed large scale distributed AI systems for AI researchers.

Before that I led a team for image analysis in a cancer research company.

Before that, I redesigned their instrument and firmware.

Did a lot of electronics before that.

  Email: [email protected]
You should read how the infrastructure of gpt works. In peak times you response quality will drop. Microsoft has a few whitepapers on it.

Ideal output is when nobody elese is using the tool.

I have built large scale distributed gpu (96gpus per job) dnn systems and worked on very advanced code bases.

GPT4 massively sped up my ability to create this.

It is a tool and it takes a lot of time to master it. Took me around 3-6 months of every day use to actually figure out how. You need to go back and try to learn it properly, it's easily 3-5x my work output.

Re:Startup idea: Zapier for consumer apps on Wednesday November 08, 2023 @05:25PM (#38198043)
https://www.multion.ai/

Sorry for late reply

Re:Major Outage Across ChatGPT and API on Wednesday November 08, 2023 @04:33PM (#38197408)
Visual design work, coding, messaging, strategy, and law consulting.

Using it for basically every component of my startup.

Image generation and image interpretation means I may never hire a designer.

Re:Startup idea: Zapier for consumer apps on Sunday November 05, 2023 @10:34AM (#38151987)
There's a startup in my coworking space that is doing exactly this.

They are based in menlo park, exactly as you describe it they are doing. Not sure how good it is but they're trying.

If anyone cares about the name reply and I'll get it tomorrow when I go in.

Re:OpenAI is too cheap to beat on Thursday October 12, 2023 @03:47PM (#37862219)
Good luck getting that lol
Re:OpenAI is too cheap to beat on Thursday October 12, 2023 @03:46PM (#37862203)
A top end gpu now to make you competitive cost 20-50k per gpu.

To train a top model you need hundreds of them in a very advanced datacenter.

You can't just plug gpus into standard systems and train, everything is custom.

The technical talent required for these systems is rare to say the least. The technical talent to make a model is also rare.

I trained a few foundation models with images, and I would NEVER buy any of them. These guys are on a wildly different scale than basically everyone.

Re:OpenAI is too cheap to beat on Thursday October 12, 2023 @03:46PM (#37862201)
You pay for the system not the gpu with AWS.

It's absolutely worth the money when you look at the whole picture. Also lambda labs never has availability. I actually can schedule a distributed cluster on AWS.

How to get more involved with Bay Area AI builders?

Hey I'm a engineer working in the bay area building large scale infrastructure for AI training/inferencing using SLURM and Kubernetes for a team of AI researchers.I have always worked at startups but always paid and as a proper job.I'm looking to get my hands dirty and help out very early founders on whatever, paid or not. I love my current job and won't leave so looking for part time.Basically...

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