dstack/docs/deployment.md at master · Dstack-TEE/dstack
Open framework for confidential AI. Contribute to Dstack-TEE/dstack development by creating an account on GitHub.
Design system doc spec 0.15.2
A machine-readable format for design system documentation. DSDS structures components, tokens, themes, foundations, patterns, and guides as a single source of truth for humans, parsers, and agents.
What Is DSPy? How It Works, Use Cases, and Resources
DSPy is an open-source Python framework that allows developers to build language model applications using modular and declarative programming instead of relying on one-off prompting techniques.
[MS-ADTS]: Introduction
This is the primary specification for Active Directory, both Active Directory Domain Services (AD DS) and Active Directory
Research Debt
Science is a human activity. When we fail to distill and explain research, we accumulate a kind of debt...
The Debt Payment Puzzle: An Experimental Investigation
Why do borrowing individuals fail to repay their debt optimally? We design a diagnostic laboratory experiment where we rule out selection into debt and other co
Borrowing to Save? The Impact of Automatic Enrollment on Debt
ABSTRACT Does automatic enrollment into a retirement plan increase financial distress due to increased borrowing outside the plan? We study a natural experiment created when the U.S. Army began automatically enrolling newly hired civilian employees into the Thrift Savings Plan. Four years after hire, automatic enrollmentincreases cumulative contributions to the plan by 4.1% of annual salary, but we find little evidence ofincreased financial distress. Automatic enrollment causes no significant change in credit scores, debt balances excluding auto debt and first mortgages, or adverse credit outcomes, with the possible exception of increasedfirst‐mortgage balances in foreclosure.
You’re Not Taking On Enough Tech Debt
TL;DR - The cost of servicing technical debt is plummeting because of LLMs; assuming coding models keep improving. You're better off taking more technical de...
Comprehension Debt - the hidden cost of AI generated code.
Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engineering.
dsegovia90/cocompute
Contribute to dsegovia90/cocompute development by creating an account on GitHub.
Composite ML-DSA for use in X.509 Public Key Infrastructure
This document defines combinations of US NIST ML-DSA in hybrid with traditional algorithms RSASSA-PKCS1-v1.5, RSASSA-PSS, ECDSA, Ed25519, and Ed448. These combinations are tailored to meet regulatory guidelines. Composite ML-DSA is applicable in applications that uses X.509 or PKIX data structures that accept ML-DSA, but where the operator wants extra protection against breaks or catastrophic bugs in ML-DSA, and where EUF-CMA-level security is acceptable.
Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?
We estimate a two-stage Heckman selection model of credit card adoption and use with a unique dataset that combines administrative data from the Equifax credit bureau and self-reported data from a representative survey of consumers. Higher-income consumers carry higher credit card balances, but they tend to repay those balances each month. Credit card revolvers have lower income and are less educated. Revolvers are twice as likely to use debit cards as credit cards for payments, but they carry much higher balances on their credit cards. The high cost of paying off credit card debt likely exacerbates existing inequalities in disposable income. Unlike the mortgage market, we find no evidence for lenders’ cutoff between subprime and prime consumers in the credit card market.
Debt Service Coverage Ratio (DSCR) measures if the income generated by a commercial property is sufficient to fulfill its annual debt burden.