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 blog post introduces and exemplifies the Raku package “LLM::Graph”, which is used to efficiently schedule and combine multiple LLM generation steps.| Raku for Prediction
This document shows how to do Function Calling workflows with Large Language Models (LLMs) of OpenAI.| 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
Consider the following Raku-developer-centric applications of ML/AI vision models: – Narration of UML diagrams – Code generation from narrated (and suitably tweaked) narrations of archi…| Raku for Prediction
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
