Reducing Stochasticity in Dreams

In this article we explore how we can further reduce randomness in terms of AI outputs even in other areas of SIKE such as the Dreams area. Dreams is where users can add various ideas (in a post-it notes type format) and make queries from them. This is great for project management, meeting tracking, managing clients/users, ideation and more. What’s great is that users can then write queries and get answers from what’s in these notes and answers will only stem from there. This is an easier way of managing information but can lead to issues of stochasticity as we detail below.

A Hitchhikers Guide To Knodules

Discover Knodules, the knowledge containers of the Secure Intelligent Knowledge Engine (SIKE), designed to revolutionise information management through modular organisation, sophisticated access controls, and innovative knowledge monetisation. This article examines the functionalities of Knodules, including their ability to enforce compliance, enable precise searches with advanced tagging, and manage data securely and efficiently.

Reducing Stochasticity in Corporate Applications of Language Models Through Semantic Programming

In this article, we explore the challenges of integrating Language Model (LM)-based prompts into mature corporate workflows that must adhere to stringent compliance requirements. These challenges include navigating corporate compliance demands and managing the inherent randomness (stochasticity) of model outputs. We showcase how we tackle these problems with SIKE.