Whispers from the digital wind, hang tight..
Is Serverless Hard to Adopt? Understand the simple measures to make your serverless adoption a success Photo by Mikhail Nilov on Pexels More than a year ago, hiking at some altitude in the September setting of Semmering, Austria, we were lost at a
Part 4 of a study on generative AI usage and testing Photo by Yasmine Duchesne on Unsplash Large language models (LLMs) have made their way into the hands of workers in various industries, the minds of tech company leaders, and the hearts
During my internship at Nullspace Robotics, I had the privilege of diving into a project that would enhance the company’s capabilities. We integrated object detection and machine learning image recognition to develop a machine that classifies lego technic pieces in
With the technological advances of recent years, especially since the turn of the millennium, data science has become a discipline in its… Continue reading on Towards Data Science »
Quantize and run EXL2 models Image by author Quantizing Large Language Models (LLMs) is the most popular approach to reduce the size of these models and speed up inference. Among these techniques, GPTQ delivers amazing performance on GPUs. Compared to unquantized models,
Using Tableau to build interactive data visuals Continue reading on Towards Data Science »
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