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Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning -based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples.
MLIR (Multi-Level Intermediate Representation) is a unifying software framework for compiler development. [1] MLIR can make optimal use of a variety of computing platforms such as central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), Tensor Processing Units (TPUs), field-programmable gate arrays (FPGAs), artificial intelligence (AI) application ...
LCC ("Local C Compiler" or "Little C Compiler") is a small, retargetable compiler for the ANSI C programming language. Although its source code is available at no charge for personal use, [2] it is not open-source or free software according to the usual definitions because products derived from LCC may not be sold, although components not derived from LCC may be sold. [1]
Compilers: Principles, Techniques, and Tools [1] is a computer science textbook by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman about compiler construction for programming languages. First published in 1986, it is widely regarded as the classic definitive compiler technology text.
He then went on to apply his knowledge of compilers as a vital member of the teams that developed two computer architectures — PA-RISC at Hewlett-Packard and SPARC at Sun Microsystems. Upon completion of the initial work on each architecture, he served as the leader of the advanced compiler design and implementation groups for these systems.
The book also contains the entire code for making a compiler. The back cover offers the original inspiration of the cover design: The dragon is replaced by windmills, and the knight is Don Quixote. The book was published by Addison-Wesley, ISBN 0-201-00022-9.
At least for the moment, this means that it is the appropriate category for any article related to compilers in general, such as Relocation table, even if they are not particularly "theoretical" in nature. The category Compilers is the appropriate category for articles about specific compiler implementations, such as GCC.