artificial intelligence

December 3, 2023

Unlock Efficiency: Slash Costs and Supercharge Performance with Semantic Caching for Your LLM App!

A semantic cache for large language model (LLM) based applications introduces a plethora of advantages that revolutionize their performance and usability. Primarily, it significantly enhances processing speed and responsiveness by storing precomputed representations of frequently used language elements. This minimizes the need for repetitive computations, leading to quicker response times and reduced latency, thereby optimizing […]

July 29, 2023

InqueryIQ – A fully-automatic OpenAI email support agent for your own products and services

Providing human support engineers to handle incoming queries about products and services can be both costly and limited in its scalability. This is particularly challenging for self-published mobile apps and small to medium-sized businesses, as they often lack the financial resources to offer human support. I personally experienced this issue when I published my own […]

January 22, 2023

artificial intelligence

Does OpenAI ChatGPT recognize its own creations?

There is a lot of hype ongoing about the amazing capabilities of OpenAI’s ChatGPT and how it will revolutionize the writing of texts. Schools and universities are worried that ChatGPT will widely be used by students to summarize larger texts, books or general topics. Those ChatGPT generated texts, which seem perfect in word, sentences and […]

November 5, 2022

Run a Camera Motion Detector in a Docker Container

For years, I have been struggling with my network camera and its inability to correctly detect motion without generating a storm of false positive images. No matter how I configure the sensitivity of my camera, it is generating thousands of false-positive motion pictures each single day. It seems as if the motion detection intelligence within […]

February 5, 2022

Learn to Deploy Cloud Apps with Google Cloud Skill Boost

Last week I stumbled across a great opportunity that was announced within the Google Cloud Blog, which I am regularly scanning for latest GCP innovations. They offered a 30 days free subscription for their new Google Cloud Skill Boost learning platform, which I immediately accepted. Eager to deepen my existing knowledge on GCP cloud services, […]

November 27, 2021

Web Text Scraping and AI Model Training with Streamlit

Within the last weeks, I thought about building a service for automatically answering incoming user questions by using a repository of previously answered questions. The benefit of such an automatic answering system is obvious, but as a foundation for that implementation, a trained text association model is needed. A large corpus of existing texts therefore […]

May 22, 2021

Deploy a Streamlit Data Analysis Dashboard with Docker

Streamlit is one of the hottest topics around the data science community at the moment. I came across Streamlit when our data science team presented their results in a web application that looked that professional that I simply couldn’t believe how they could build that app in so little time (and not having designers and […]

May 19, 2021

The Virtual Google I/O 2021 Executive Summary

When I last visited Google Next conference in 2018, I could not really imagine how the world will change in the next 2 years due to the Covid crisis. Within weeks all on-site conferences and events were canceled and the communities lived on in virtual space. Same happened to Google I/O as it was canceled […]

May 1, 2021

Harvesting Robots help to mitigate Labor Shortage

One of the challenges that agricultural businesses faced especially here in Austria during the Covid crisis, was the tremendous shortage of manual labor during various harvesting seasons. At the beginning of spring, one of the first agricultural product in our region is asparagus. Harvesting season for asparagus is extremely short, so a spike of manual, […]

April 21, 2021

Visualize Word Embeddings

Word embeddings within machine learning and artificial intelligence models are used to analyse the semantic similarity of words within texts and therefore to gain deeper knowledge during sentient text analysis and classification. Word embeddings represent pre-trained databases of a given vocabulary where each word comes with a unique numeric vector that represents its position within […]