@tonyabracadabra
Hacker @string-analytics
Analyzed 5d ago
Repos Analyzed
28
With LLM Usage
2
Total Call Sites
4
LLM Providers
1
LLM Providers
Models
Frameworks
# What I cannot create, I do not understand
### *“Does the walker choose the path, or the path the walker?”*
― Garth Nix, __*Sabriel*__
## About me
- Hacker & CEO @STRING, a platform that fosters decision making with the Blessing of Dimensionality through the [causal lens](http://proceedings.mlr.press/v6/pearl10a/pearl10a.pdf).
- Previously ML @ [Uber](https://www.uber.com/us/en/marketplace/)
- As a CMU tartan, [My heart is in the work](https://www.cmu.edu/about/today-we-work/).
- Trained as an engineer, biologist, chemist and amateur linguist.
- Learning cool stuff like quantum computing and cryptography.
## What's more?
- We are hiring machine learning / full stack engineers, we welcome Rustaceans, Gophers and Pythonistatisticians (sorry for making up that word!) to join us building the vibrant future of human centered decision making.
- Open for a coffee chat on random stuff (I am Hangzhou based right now) or zoom catch up, grab my time [here](https://calendly.com/tongxupeng-cpu/30).
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╹Estimate costs using published model pricing and your own volume inputs.
Model
Daily API Calls
1,000Avg Tokens per Request
1,000gpt-4o pricing
Input: $2.5/1M tokens · Output: $10/1M tokens
These estimates use published model pricing. Actual costs depend on your call volume, prompt length, and response size.
One Agent, one Workflow and one Tool to bring you the weather in your city.