Raku API access to OpenRouter
This blog post proclaims and exemplifies the Raku package "WWW::OpenRouter" that provides API access to the Large Language Models (LLMs) service OpenRouter.
This blog post proclaims and exemplifies the Raku package "WWW::OpenRouter" that provides API access to the Large Language Models (LLMs) service OpenRouter.
This blog post introduces and describes the Raku package "WWW::XAI" that provides API access to the Large Language Models (LLMs) service (Space)XAI.
The Jacobian conjecture was (very) recently disproved by a counterexample found by Anthropic’s Fable 5. This blog post demonstrates that counterexample using Raku built-in functions and packages for symbolic computations.
This blog post shows how to make unit distance graphs using 2D lattices generated with complex number operations. (It completes a previous blog post that uses leaper graphs.)
This document discusses unit distance graphs constructed from leaper graphs, which serve as examples related to the Erdős unit distance conjecture (recently disproved by an OpenAI LLM.)
The Raku package "DSL::Examples" is a "data package" with examples of DSL commands translations to programming code. The DSL examples are suitable for LLM few-shot training. The sub llm-example-function provided by "LLM::Functions" can be effectively used to create translation functions utilizing those examples.
Раку пакетът DSL::Examples, [AAp1], е „даннов пакет“ с примери за превод на DSL команди към програмен код. Послучай 24-ти май аз реших да обогатя този пакет с примери на български и руски.
This document (notebook) has a complete usage example of a thin Model Context Protocol (MCP) client of the Raku package "MCP::Client". The MCP server is run in Docker -- see "Docker MCP Toolkit".
In this document we discuss how to do "classical machine learning" Latent Semantic Analysis (LSA) with Raku for collections of documents, and how to generate the code for the related LSA workflows.
"Chatnik" is a Raku package that provides Command Line Interface (CLI) scripts for conversing with multiple, persistent Large Language Model (LLM) personas. Files of the host Operating System (OS) are used to maintain persistence.