The itemis blog

Accumulated IT knowledge

Data Science, Machine Learning, A.I.

natlagram: Creating Diagrams From Text With the Help of GPT and Kroki

Natlagram is a tool that allows users to generate diagrams from their natural language descriptions. This application is built around OpenAI's GPT and the Kroki diagram tool, making it easy for users to describe structures and processes from any domain to receive ...

by Rafael Tappe Maestro

21 min. reading time
Machine Learning, A.I.

The Power of AI-Generated Training Data: Image Recognition With DALL-E

The power of machine learning is undeniable, but anyone who has attempted to train a model from scratch knows that data collection can be a tedious and time-consuming process. Taking tens of thousands of pictures for training data? Ain't nobody got time for that! ...

by Nikolas Rieder

11 min. reading time
Machine Learning, A.I.

ChatGPT's impact on software developers

Paradigm Shift With ChatGPT In recent years, the use of AI in software development has become more widespread, with many large companies incorporating AI technology into their development processes. The main areas where AI is used are code optimization and bug ...

by Nikolas Rieder

7 min. reading time
Machine Learning, A.I.

Optimizing AI workflows: Streamlining machine learning operations for increased project value

If you've ever worked on a machine learning project in an industry setting, you're likely aware of the significant technical debt that often plagues such projects. Over the years, the machine learning community has pushed the boundaries of the state-of-the-art in ...

by Ario Giancarlo Cecchettini

12 min. reading time
Machine Learning, A.I.

Scaling Your Business With Language Technology and AI: A Non-Technical Guide

In this article, I will discuss language technology and robotic process automation, their interaction, and how they can provide business value with three practical examples. The explanation will be in terms that can be easily understood by non-technical business ...

by Ario Giancarlo Cecchettini

10 min. reading time
Machine Learning, A.I.

The Rise of Large Language Models ~ Part 2: Model Attacks, Exploits, and Vulnerabilities

Large Language Models (LLMs) like ChatGPT have the potential to revolutionize the way we access information and build software. However, the integration of these models with software also poses some risks that need to be addressed. In this blog post, we will ...

by Rafael Tappe Maestro

5 min. reading time
Machine Learning, A.I.

The Rise of Large Language Models ~ Part 1: Impact on Power, Privacy, and Security

It's been two months since OpenAI released its latest large language model, ChatGPT, and it's already making waves in the tech world. ChatGPT presents itself as a tool for translation, information retrieval, poetry, essays, and program code, but it has the ...

by Rafael Tappe Maestro

3 min. reading time
Machine Learning, A.I.

Optimizing Requirements Engineering and Documentation Through NLP and AI: Streamlining the Process

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that is being used in an increasing number of applications. These include making research in fields such as law and medicine more efficient, automatically extracting and retrieving ...

by Ario Giancarlo Cecchettini

10 min. reading time
Software Development, Data Science, Deep Learning, Machine Learning, IoT

Deep Learning for information extraction: Improve your extraction results

This is the second part of a series of articles about Deep Learning methods for Natural Language Processing applications. As mentioned in the previous blog post, we will now go deeper into different strategies of extending the architecture of our system in order ...

by Chi Nhan Nguyen

11 min. reading time
Software Development, IoT, Machine Learning

How you create rapid machine learning prototypes (with sample use cases)

Businesses, decision makers and machine learning practitioners share a common struggle: How do we identify business problems worth turning into data problems, so we can create data-empowered solutions that result in business value? Read further to get an answer to ...

by Andre Bappert

10 min. reading time