31 mins
Generative Pre-trained Transformers (GPTs) like OpenAI’s ChatGPT have transformed the landscape of artificial intelligence by offering the ability to generate human-like text, adapt to diverse tasks, and understand context and patterns across various domains. This blog post provides a non-technical, broad overview of GPTs, emphasizing their versatility in applications such as brainstorming, complex problem-solving, data analysis, and more. Despite their impressive capabilities, GPTs are often misunderstood as simple search engines or seen as tools that merely reproduce information from their training data, leading to misconceptions about their potential and legality. The post aims to demystify GPTs by highlighting their unique strengths and differentiating them from traditional tools. By showcasing practical applications and explaining what GPTs can and cannot do, the article seeks to clarify these misunderstandings and demonstrate how GPTs can be powerful partners in fostering innovation, creativity, and effective problem-solving. This understanding will empower readers to leverage GPT technology more effectively in various aspects of their personal and professional lives.
14 mins
This article is a quick summary on Householder reflectors in real values vector spaces and their application to zero rows or columns in matrices.
5 mins
This article solves the mystery behind some of my FreeBSD systems that had appeared to be randomly freezing and provides a solution to this single specific problem.
44 mins
Nuclear Magnetic Resonance (NMR) and Electron Paramagnetic Resonance (EPR) are pivotal techniques used to explore molecular structures and dynamics through the magnetic properties of atomic nuclei and unpaired electrons. This article provides an introductory level examination of NMR, integrating both classical and quantum mechanical descriptions. Key topics include the Zeeman effect, Bloch equations, relaxation processes, and the quantum mechanical framework involving spin operators, Eigenstates, and the density matrix formalism. The discussion delves into the effects of RF driving fields, Rabi oscillations, and the incorporation of relaxation processes using the Lindblad master equation. The article concludes by demonstrating how these quantum mechanical models align with the phenomenological Bloch equations, providing a comprehensive understanding of the dynamics of spin systems under resonance conditions. While the primary focus is on NMR, the article also offers insights into EPR, broadening the perspective on magnetic resonance techniques.
9 mins
Discover how to implement language negotiation on a static website using Apaches mod_rewrite. This article provides a step-by-step guide to serving translated content based on users browser preferences, enabling a seamless multilingual experience without the need for complex server-side scripts or content management systems. Whether you are looking to add multilingual support to your Jekyll-generated site or simply explore the powerful features of Apache, this guide offers clear explanations and practical examples to help you get started.
51 mins
This article explores the integration of the MLX90640 far infrared thermal sensor with a RaspberryPi using FreeBSD. It delves into the technicalities of interfacing the sensor, the intricacies of its data processing and compensation algorithms, and demonstrates these concepts with Python code examples.
7 mins
This article gives a short summary on the way to interface with the I2C bus on RaspberryPi using Python by using a thin wrapper around the ioctl calls supported by FreeBSD. In addition it introduces a small PyPi package that supplies this thin wrapper.
22 mins
A short summary on the interaction of alkali atoms with electromagnetic radiation
45 mins
A quick overview on how one can generate word and sentence embeddings using BERT, mpnet and OpenAIs sentence embedding API in Python. The second part also includes a mini semantic search engine (with linear index that only serves demonstration purpose). This article does not offer and in depth explanation but only a quick overview glance on the APIs to play around.
59 mins
This is a very short overview on how to use the tooling/function API of ChatGPT to call external functions to perform actions or retrieve some simple information. In addition a simple iterative problem solving process of GPTs is shown as an example in Python. It makes use of an external commercial API though.
Dipl.-Ing. Thomas Spielauer, Wien (webcomplains389t48957@tspi.at)
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