First of all, let’s define our hypoparameters. Like in many other metaheuristic algorithms, these variables should be adjusted on the way, and there is no versatile set of values. But let’s stick to these ones: POP_SIZE = 10 #population size MAX_ITER = 30 #the amount of optimization iterations w = 0.2 #inertia weight c1…

When LLMs give us outputs that reveal flaws in human society, can we choose to listen to what they tell us? Photo by Vince Fleming on UnsplashBy now, I’m sure most of you have heard the news about Google’s new LLM*, Gemini, generating pictures of racially diverse people in Nazi uniforms. This little news blip…

Learn to use AI to boost the efficiency of your business Image by geralt on PixabaySince the advent of ChatGPT, it has brought tremendous shock to human society. Especially for us developers, our lives have been reshaped dramatically because of it. ChatGPT can answer all kinds of technical and non-technical questions correctly, accurately, and efficiently.…

In the rapidly evolving landscape of technology, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as pivotal forces driving innovation, efficiency, and competitive advantage across industries. For Chief Technology Officers, IT Directors, Tech Project Managers, and Tech Product Managers, understanding and integrating these technologies into business strategies is no longer optional; it’s imperative. It’s…

Data Science Introduction to MCMC, dividing it into its simplest terms Photo by Karine Avetisyan on UnsplashI recently posted an article where I used Bayesian Inference and Markov chain Monte carlo (MCMC) to predict the CL round of 16 winners. There, I tried to explain bayesian statistics in relative depth but I didn’t tell much…

Image Property of Author — Create with NightcafeDiscover how to significantly improve inference latency on CPUs using quantization techniques for mixed, int8, and int4 precisions One of the most significant challenges the AI space faces is the need for computing resources to host large-scale production-grade LLM-based applications. At scale, LLM applications require redundancy, scalability, and…

The quest to refine neural networks for practical applications traces its roots back to the foundational days of the field. When Rumelhart, Hinton, and Williams first demonstrated how to use the backpropagation algorithm to successfully train multi-layer neural networks that could learn complex, non-linear representations in 1986, the vast potential of these models became apparent.…

Analyzing Landsat-8 imagery (2014–2023) to create the time series of Great Salt Lake surface area using Python in Google Colab Timelapse of the Great Salt Lake area, based on cloud-free Landsat-8 images from 2014 to 2023, visualized by the author🌅 Introduction to the Great Salt Lake Shrinkage Problem 💾 Downloading Landsat-8 Images 📈 Time Series…

Blender Complete guide to create 3D experiences with large point clouds in Blender In this tutorial, I want to fill a large internet gap: how to leverage one of the best 3D tools for manipulating and visualizing massive point cloud datasets. 3D Point Cloud Visualization of an old factory within Blender. © F. PouxThis tool…

Escaping the Data Trap: How Opinions Unlock True Innovation Source: DALL-E“W e need to be data driven”, says everyone. And yes. I agree 90% of the time, but it shouldn’t be taken as a blanket statement. Like everything else in life, recognizing where it does and doesn’t apply is important. In a world obsessed with…