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Navigating the Labyrinth: Harnessing Ant Colony Optimization for Complex Problem Solving
Navigating the Labyrinth: Harnessing Ant Colony Optimization for Complex Problem Solving
Abstract
Everton Gomede, PhD
Jul 25
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Spreadsheets have long been a fundamental tool in data management and analysis. However, their complex structures have posed significant…
Keyur Ramoliya
Jul 24
Create a Chatbot with Paid and Free Models using LangChain
Create a Chatbot with Paid and Free Models using LangChain
Talking about chatbots these days inevitably leads to ChatGPT. ChatGPT is a Large Language Model (LLM) technology from OpenAI that focuses…
Muhammad Ihsan
Jul 22
From Pixels to Words: Building a Text Recognition System with YOLOv8 and NLP, 2/2
From Pixels to Words: Building a Text Recognition System with YOLOv8 and NLP, 2/2
Discover how a simple image can be transformed into readable text using YOLOv8 and NLP part 2.
Arthur Lagacherie
Jul 21
Neural Networks implementation from the ground up part 4 — training on MNIST dataset
Neural Networks implementation from the ground up part 4 — training on MNIST dataset
In the last blog, we completed our implementation of a neural network. In this blog we will test our neural network against a real dataset…
Satvik Nema
Jul 20
Understanding Classification Metrics (Part-3)
Understanding Classification Metrics (Part-3)
ROC Curve and AUC-ROC
Kevalsakhiya
Jul 19
Tell Compelling Stories With Your Data
Tell Compelling Stories With Your Data
The title, for anyone with experience in data science or machine learning or anything related to plotting and displaying data, is something…
Rishab Das
Jul 19
MorphNet Overview
MorphNet is a neural network architecture optimization technique designed to adaptively optimize the structure of a neural network to…
Zubair
Jul 19
Efficiency vs Mediocrity: The Double-Edged Sword of Foundation Models
Efficiency vs Mediocrity: The Double-Edged Sword of Foundation Models
TL;DR: AI tools like ChatGPT can boost developer productivity but risk creating an illusion of competency if misused by those without a…
Andrei Damian
Jul 18
Test-Time Training (TTT): A New Approach to Sequence Modeling
Test-Time Training (TTT): A New Approach to Sequence Modeling
In artificial intelligence (AI) and natural language processing (NLP), sequence modeling is incredibly important. It’s the foundation for…
Keyur Ramoliya
Jul 18
From Pixels to Words: Building a Text Recognition System with YOLOv8 and NLP, 1/2
From Pixels to Words: Building a Text Recognition System with YOLOv8 and NLP, 1/2
Discover how a simple image can be transformed into readable text using YOLOv8 and NLP.
Arthur Lagacherie
Jul 18
Suki Analytics
Suki Analytics
Exploring the Food Prices in the Philippines from the World Food Programme (WFP) Price Database
Daelson Mangrobang
Jul 18
From Data Analytics to OpenAI’s 5 levels of Artificial General Intelligence
From Data Analytics to OpenAI’s 5 levels of Artificial General Intelligence
Artificial General Intelligence (AGI)
Penny Tse
Jul 17
Understanding Retrieval-Augmented Generation (RAG) in Large Language Models
Understanding Retrieval-Augmented Generation (RAG) in Large Language Models
Retrieval-Augmented Generation (RAG) represents a significant advancement in the field of AI, especially for large language models (LLMs)…
Asimsultan (Head of AI)
Jul 17
The AI apocalypse and why it will (probably) happen
The AI apocalypse and why it will (probably) happen
This is my fourth or fifth article in the matter and it seems that this streak will not end soon.
Vassilios Karakoidas
Jul 17
Understanding Classification Metrics (Part-2)
Understanding Classification Metrics (Part-2)
Precision, Recall, F1 score
Kevalsakhiya
Jul 17
Group Normalization (GN) Overview
Group Normalization (GN) is a technique used to normalize the features in a neural network, particularly useful when training with small…
Zubair
Jul 16
From Binary to Buddy : Introduction to RAG and Fine-Tuning
From Binary to Buddy : Introduction to RAG and Fine-Tuning
When we start implementing Artificial Intelligence in the form of Large Language Models (LLM) into an application, we will encounter at…
Muhammad Ihsan
Jul 15
Unlocking the Future of Medicine: The Impact of AI-Powered LLMs on Healthcare
Unlocking the Future of Medicine: The Impact of AI-Powered LLMs on Healthcare
Large Language Models (LLMs) have the potential to revolutionize the healthcare industry by enhancing clinical workflows, improving patient…
Asimsultan (Head of AI)
Jul 15
Making counterfeit US bills Part 2
Making counterfeit US bills Part 2
This article underlines how counterfeit money is manufactured, emphasizing its impact on economies worldwide, including detailed examples…
Alimuhammadsecured
Jul 15
DeepSim: Deep Similarity for Image Quality Assessment Overview
DeepSim is a neural network-based architecture designed for assessing image quality. It introduces a method for image quality assessment…
Zubair
Jul 15
Build a Simple Single Layer Learning Network — Linear Regression Model
Build a Simple Single Layer Learning Network — Linear Regression Model
As a beginner studying deep learning, I try to record my learning notes as I go through this journey. Below, I’m going to show how to…
Nihaomur
Jul 14
Class Activation Mapping (CAM) Overview
Class Activation Mapping (CAM) is a technique used in convolutional neural networks (CNNs) to identify the regions of an input image that…
Zubair
Jul 14
Understanding Classification Metrics (Part-1)
Understanding Classification Metrics (Part-1)
Accuracy and Classification Matrix
Kevalsakhiya
Jul 14
Building a Smarter RAG: Tackling Ambiguity in Document Analysis
Building a Smarter RAG: Tackling Ambiguity in Document Analysis
Enhance your Retrieval-Augmented Generation system to handle vague queries and improve user interaction
Sri Jerripotula
Jul 14
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