peterlai
Joined 18 years ago
Joined 18 years ago
A year later, the field of mechanistic interpretability has seen significant advancements, and we're now able to "decompose" models into interpretable circuits that help explain how LLMs produce predictions. Using the second iteration of an LLM "debugger" I've been working on, I compare the hypothetical representations used in the tutorial to the actual representations I see when extracting a circuit that describes the processing of this specific sentence. If you're into model interpretability, please take a look! https://peterlai.github.io/gpt-circuits/
Emburse is a corporate credit card platform that generates virtual and physical credit cards with specific budget restrictions. We manage both traditional corporate card expenses like T&E as well as backend vendor payments.
Emburse is built using Python/Django and is deployed on Heroku for development and AWS for production. We're looking for someone to join us as one of the first few employees and who would be comfortable embracing sizable infrastructure responsibilities which include:
* Maintaining a PCI-compliant environment on AWS
* Augmenting our credit card transaction processing capabilities
* Designing new expense management features
Check out https://www.emburse.com/emburse-hiring/ for more information about our company and the role we're looking to fill.
Emburse is a corporate credit card platform that generates virtual and physical credit cards with specific budget restrictions. We manage both traditional corporate card expenses like T&E as well as backend vendor payments.
Emburse is built using Python/Django and is deployed on Heroku for development and AWS for production. We're looking for someone to join us as one of the first few employees and who would be comfortable embracing sizable infrastructure responsibilities which include:
* Maintaining a PCI-compliant environment on AWS
* Augmenting our credit card transaction processing capabilities
* Designing new expense management features
Check out https://www.emburse.com/emburse-hiring/ for more information about our company and the role we're looking to fill.
Emburse is a corporate credit card platform that generates virtual and physical credit cards with specific budget restrictions. We manage both traditional corporate card expenses like T&E as well as backend vendor payments.
Emburse is built using Python/Django and is deployed on Heroku for development and AWS for production. We're looking for someone to join us as one of the first few employees and who would be comfortable embracing sizable infrastructure responsibilities which include:
* Maintaining a PCI-compliant environment on AWS
* Augmenting our credit card transaction processing capabilities
* Designing new expense management features
Check out https://www.emburse.com/emburse-hiring/ for more information about our company and the role we're looking to fill.
Which that said, there's plenty of opportunity as a debit card product. We believe that no financial product right now really prioritizes spend control and bookkeeping accuracy in the way we do within our product.