I Created an AI Server with Python and 5 Amazing Features — part 2
An OpenAI-compatible API server for OpenVINO text generation: how to use an AI coding assistant to extend features and handle errors. image …
Nuclei Detection and Fluorescence Quantification in Python: A Step-by-Step Guide (Part 2)
Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. Welcome back to the second tutorial in our series, “Nuclei Detection and Fluorescence Quantification in Python.” In this tutorial, we will focus on measuring the fluorescence intensity from the GFP channel, extracting …
Implementing Lag or Lead Values (Only For Numeric Data) without Using the Lag() or Lead() Window Functions
The concept of Range of Records In SQL With Sum or Average Image by author Window functions will help us in different …
Performance Analysis Between QWQ-32B and DeepSeek-R1 and How to Run QWQ-32B Locally on Your Machine
Photo by Samule Sun on Unsplash Have you ever wished you could fit a big-brain AI model into a more compact …
Classics Never Fade Away: Decipher Gaussian Mixture Model and Its Variants!
Figure 1: Gaussian mixture model illustration [Image by AI] Introduction In a time where deep learning (DL) and transformers steal the spotlight, it’s easy to forget about classic algorithms like K-means, DBSCAN, and GMM. …
How Deepseek Destroyed OpenAI, and How You Can Do it Too!
What is PTX/ASM? In the rapidly evolving world of GPU computing, performance can often be the make-or-break factor in an application’s success. …
GenAI Adversarial Testing and Defenses: Flower Nahi, Fire Style Security. Unleash the Pushpa of Robustness for Your LLMs!
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. Section 1: Introduction — The GenAI Jungle: Beautiful but Dangerous Namaste, tech enthusiasts! Dr. Mohit here, ready to drop some GenAI gyaan with a filmi twist. Think of the world of Generative AI …
Mistral AI Launches New Mistral OCR API
Plus: Anthropic Launches New AI Collaboration Platform Welcome to Get The Gist, where every weekday we share an easy-to-read summary of …
You’re Doing RAG Wrong: How to Fix Retrieval-Augmented Generation for Local LLMs
✔️ Want to skip straight to the setup? Jump to the tutorial. ✔️ Need a RAG refresher? Check out my previous article. RAG …
Reimagining Diffusion Models: Autoregressive Priors for Efficient Initialization
Exploring a Novel Approach to Diffusion Initialization with Intuitive Illustrations, Applications Photo by Gary Fultz on Unsplash Diffusion models have become a …
Important LLMs Papers for the Week from 24/02 to 01/03
Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of …
3D Scanning: Your Complete Sensor Guide
Author(s): Florent Poux, Ph.D. Originally published on Towards AI. Comprehensive 3D Scanning manual explaining Active/Passive sensors such as LiDAR and photogrammetry for 3D Reconstruction. Complete visual guide to 3D sensor …
Fine-Tuning 101: Unlocking the Power of AI Customization
Fine-tuning is the process of training a model with specific examples to shape its responses in a desired way. However, it should not be used to teach new knowledge. 1. What are the methods …
NN#11 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. Limitations of ANNs: Move to Convolutional Neural Networks The journey from traditional neural networks to convolutional architectures wasn’t just a technical evolution …
LLMs Are “Just” Coding Assistants — But That Still Changes Everything
Understanding the Role of LLMs in Modern Coding: A Guide for Aspiring Developers The rise of large language models (LLMs) has made AI development more accessible than ever. You can generate text, …
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