Search Results for "regular expressions"

Guidance is an efficient programming paradigm for steering language models. With Guidance, you can control how output is structured and get high-quality output for your use case—while reducing latency and cost vs. conventional prompting or fine-tuning. It allows users to constrain generation (e.g. with regex and CFGs) as well as to interleave control (conditionals, loops, tool use) and generation seamlessly.

Contains significant improvements, bug fixes, and additional support. Get it from the releases, or pull the master branch. This package provides a few things. A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading. Utility tensor and variable functions so you don't need numpy as often. Have any feature requests? Submit an issue! I'll make it happen. Specifically, any data augmentation, data...

Golang text generator for generate SEO texts. Fast text generator on a mask. Written in Golang. I do not use regular expressions and the fastest. I covered tests and simple! Supporting recursive text generation rules.

newLISP for BSDs, LINUX, MacOS X, SunOS and Win32: small, fast 350+ functions, a -C-, MySQL, PostgreSQL, SQLite, ODBC, TCP/IP, UDP, XML, Java interface, string processing, regular expressions , math, financial, statistical functions, Win32 DLL

Fast SEO text generator on a mask. Written in PHP. I do not use regular expressions and the fastest. I covered tests and simple! Supporting recursive text generation rules. It supports multiple encodings. This package implements the functionality of a similar package for Go Lang. It supports multiple encodings. Supporting recursive text generation rules. Fast! Does not use regular expressions. Easy wrapping thanks to the integrated interface.

For general processing of voice queries we developed a text parsing library named 'Rootvole' that can be used to match text with semantic concepts. The algorithm was implemented in Java and can be described as a form of a parsing expression grammar, where we generate the expressions to be detected beforehand by regular expressions and store them in a vocabulary. The central class is the parser class, which is instantiated as a series of vocabularies, simple text lists that describe tokens and synonyms, and value descriptors. It's meant as a lightweight alternative to "real" NLP (natural language processing).

CINA is a pattern-based chatbot that can be used for automatic chatting and question answering in IRC or general Chat-Channels. CINA uses Regular Expressions for comparisons.