Viewing profile — charlesischuck

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 interes…

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…

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 …

https://www.multion.ai/ Sorry for late reply

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 nev…

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 try…

Good luck getting that lol

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 …

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 …

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 wo…