This blog posts shows how to utilize Large Language Model (LLM) «Function Calling» with the Raku package “LLM::Functions”, which supports high level LLM function calling via llm-synthes…| Raku for Prediction
This document provides visual dictionaries for the interpretation of graph-plots of LLM-graphs.| Raku for Prediction
One of the “standard” things to do with an Agentic Artificial Intelligence (AI) system is to summarize (large) texts using different Large Language Model (LLM) agents. This document ill…| Raku for Prediction
This document discusses executable documents parameterization — or parameterized reports — provided by the Raku package “Text::CodeProcessing”. YAML specs, LLM templates, an…| Raku for Prediction
Този блог пост представя различни визуализации, свързани с хипотезата на Колац, използвайки Raku.| Raku for Prediction
In this blog post we provide aids and computational workflows for the analysis of the first Carlson-Putin interview held in February 9th, 2024. We mostly use Large Language Models (LLMs). We walk t…| Raku for Prediction
1 Main ideas 2 Lack of tuples 3 Folding over arrays 4 Deallocating stuff 5 Discriminated unions 6 Main data structure 7 Tokenizer 8 Parser 9 Flattener 10 Define the phases 11 Parsing the command li…| x += x++
1 Main ideas 1.1 Unhappiness with existing tools 1.2 A different interpretation 1.3 Multi-language, multi-document format 1.4 Usage 1.5 Programming Languages limitations 2 Implementation 2.1 Going …| x += x++
In this computational Markdown document we discuss and demonstrate the inclusion and integration of Large Language Model (LLM) functions into different types of Raku workflows.| Raku for Prediction
