Awesome Falsehood
Section: Internationalization · 🆓 A huge corpus of strings which have a high probability of causing issues when used as user-input data. A must have set of practical edge-cases to test your software against.
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Appears in 4 awesome lists
🆓 A huge corpus of strings which have a high probability of causing issues when used as user-input data. A must have set of practical edge-cases to test your software against.
Section: Internationalization · 🆓 A huge corpus of strings which have a high probability of causing issues when used as user-input data. A must have set of practical edge-cases to test your software against.
Section: Other · The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Section: Must Read · This is the famous list of Naughty Strings. If you're doing some field validation, look no further for inspiration.
Section: Technical · Strings which have a high probability of causing issues when used as user-input data.
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
books: Freely available programming books
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
🟪 - Another awesome list for mathematics, useful generally but often applicable to programming.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).