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 efficiently do streamlined Function Calling workflows with Large Language Models (LLMs) of Gemini.| Raku for Prediction
This document shows how to do Function Calling workflows with Large Language Models (LLMs) of Google's Gemini.| Raku for Prediction
When maintaining APIs with multiple clients and endpoints, how can you ensure consistency between the query parameters defined on the server and those implemented by clients? A common solution is to document and maintain APIs using the OpenAPI specification, implemented by many frameworks. However, if you’re looking for a simpler, framework-free alternative, recent Java language features offer built-in support to ensure consistency through exhaustiveness checks on enums in switch statements...| nocodefunctions.com
Introducing the Typescript SDK| Spotify for Developers
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