antononcube

7 ms·

1.
by antononcube 5mo ago
There is a set of Raku modules that leverage LLMs for different tasks (mostly code generation) using different techniques: - https://raku.land/zef:antononcube/LLM::Resources : Uses agentic LLM-graphs with asynchronou
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by antononcube 7mo ago
That Python package, "NLPTemplateEngine" has Raku and Wolfram Language counterparts: - Raku, "ML::NLPTemplateEngine" - https://raku.land/zef:antononcube/ML::NLPTemplateEngine - Wolfram Language
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by antononcube 9mo ago
Related Number Theory notebooks / discussions: - «Numerically 2026 is unremarkable yet happy: semiprime with primitive roots» https://community.wolfram.com/groups/-/m/t/3594686 - «Happy √2²²-22 -
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Day 22 – Numerically 2026 Is Unremarkable yet Happy(raku-advent.blog)
5 points by antononcube 9mo ago|2 comments
5.
Maze Making Using Graphs [Day 24, Raku Advent Calendar](raku-advent.blog)
2 points by antononcube 9mo ago|0 comments
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Numerically 2026 is unremarkable yet happy(mathematicaforprediction.wordpress.com)
1 points by antononcube 9mo ago|1 comments
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by antononcube 9mo ago
The integer 2026 is semiprime and a happy number, with 365 as one of its primitive roots. Although 2026 may not be particularly noteworthy in number theory, this provides a great excuse to create various elaborate visualizations that reveal
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Robust code generation combining grammars and LLMs(raku-advent.blog)
3 points by antononcube 10mo ago|1 comments
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by antononcube 10mo ago
Interesting variant. I might program it for some of the «Rock-Paper-Scissors extensions» here: https://rakuforprediction.wordpress.com/2025/03/03/rock-pape... Some of the extensions would need polyhedral dice
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Data science with Raku – Part 1, Data transformations and analysis(rakuforprediction.wordpress.com)
7 points by antononcube 10mo ago|2 comments
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by antononcube 10mo ago
This document (notebook) shows transformations of a movie dataset into a format more suitable for data analysis and for making a movie recommender system. It is the first of a three-part series of notebooks that showcase Raku packages for d
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by antononcube 10mo ago
Yes, Wolfram Language (WL) -- aka Mathematica -- introduced `Tabular` in 2025. It is a new data structure with a constellation of related functions (like `ToTabular`, `PivotToColumns`, etc.) Using it is 10÷100 times faster than using WL&#x2
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LLM::Functions and «the Hollywood Principle»(rakuforprediction.wordpress.com)
4 points by antononcube 1y ago|1 comments
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by antononcube 1y ago
This blog post (and related notebook) show how to utilize Large Language Model (LLM) Function Calling with the Raku package "LLM::Functions". - Package: https://raku.land/zef:antononcube/LLM::Functions - Note
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by antononcube 1y ago
Mostly, because Python is not a good a "discovery" and prototyping language. It is like that by design -- Guido Van Rossum decided that TMTOWTDI is counter-productive. Another point, which could have mentioned in my previous respo
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by antononcube 1y ago
Ah, yes, Raku's "LLM::Graph" is heavily inspired by the design of the function LLMGraph of Wolfram Language (aka Mathematica.) WL's LLMGraph is more developed and productized, but Raku's "LLM::Graph" is ca
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Asynchronous LLM computations specifications with LLM:Graph(rakuforprediction.wordpress.com)
5 points by antononcube 1y ago|8 comments
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by antononcube 1y ago
Specifications for asynchronous LLM computations with Raku's "LLM::Graph" detail how to manage complex, multi-step LLM workflows by representing them as graphs. By defining the workflow as a graph, developers can execute LLM
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by antononcube 1y ago
God to know. BTW, several years ago the LLM-revolution didn't happen yet. Raku started to have sound LLM packages circa March-May 2023.
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by antononcube 1y ago
What is better in Raku than Python? Did you use any of the dedicated Raku LLM packages?
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by antononcube 1y ago
I think nightcore versions of your pieces would be of interest...
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by antononcube 1y ago
In my opinion the referenced music fragment of that video is fairly "unmemorable", it is "just" a sequence of harmonized textures. And that is precisely what AIs (LLMs) are good at. (I listened for ≈7 min from the refere
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by antononcube 1y ago
The creation of music by AI brings to mind a quote from David Bowie: “Music itself is going to become like running water or electricity. So take advantage of these last few years, because this will never happen again. Get ready for a lot o
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LLM comprehensive summary template for large texts(community.wolfram.com)
1 points by antononcube 1y ago|1 comments
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by antononcube 1y ago
Wolfram Language (aka Mathematica) notebook.
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by antononcube 1y ago
I assume you mean book's code shown in the Jypyter notebooks in the repository. (Which I think is both simple and messy.)
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by antononcube 1y ago
Dedicated presentation GitHub repository: https://github.com/antononcube/SimplifiedMachineLearningWork...
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by antononcube 2y ago
Thanks for sharing this! I only "followed" so far the properties given at Wolfram Community: https://community.wolfram.com/groups/-/m/t/3347182
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by antononcube 2y ago
In this presentation we discuss: - Two ways of plotting chessboards - Knight's tour graphs - Hamiltonian paths - Animations of knight's tours
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Exploratory Data Analysis with Raku [video](youtube.com)
4 points by antononcube 2y ago|1 comments

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