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| | sebastianraschka.com
17.5 parsecs away

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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | donsbot.com
17.1 parsecs away

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| | SMT solvers are automated tools to solve the "Satisfiability Modulo Theories" problem -- that is, determining whether a given logical formula can be satisfied. However, unlike SAT solvers, SMT solvers generalize to solving such NP-complete problems that contain not just boolean variables, but more useful types, such as lists, tuples, arrays, integers and reals. And...
| | adam.chlipala.net
12.8 parsecs away

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| | [AI summary] This text provides an in-depth exploration of advanced Coq proof techniques, focusing on manual proofs, recursion, and induction principles for complex data structures. It covers topics like nested inductive types, custom induction principles, and the design philosophy behind Coq's approach to proof automation. The text includes detailed examples of proof scripts, such as manual proofs for discrimination and injectivity of constructors, and discusses the use of tactics like discriminate and injection. It also touches on the implementation of functions like pred and the role of hints in improving proof readability and automation.
| | defmacro.org
32.9 parsecs away

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| An article about Lisp programming language.