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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
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
Demystifying Principal Component Analysis for Machine Learning enthusiasts
Demystifying Principal Component Analysis for Machine Learning enthusiasts
Machine Learning (ML) has become such a buzzword in the technology fraternity today that many technologists want to go deep into this and…
Preeti Arora
Jul 13
Understanding and Mitigating Hallucinations in Large Language Models (LLMs)
Understanding and Mitigating Hallucinations in Large Language Models (LLMs)
Large Language Models (LLMs) have revolutionized natural language processing by enabling sophisticated text generation, comprehension, and…
Asimsultan (Head of AI)
Jul 13
Understanding Deep Neural Networks for beginners- Part 1
Understanding Deep Neural Networks for beginners- Part 1
In the previous article we introduced artificial neural networks and trained our first deep neural networks (DNNs). But they were very…
Chamuditha Kekulawala
Jul 12
Predicting Breast Cancer Survival with Machine Learning: A Comprehensive Guide Using Python
Predicting Breast Cancer Survival with Machine Learning: A Comprehensive Guide Using Python
source: https://www.wgh.org/news/october-is-breast-cancer-awareness-month
Yukta Dandekar
Jul 12
Understand Spiking Neural Network through code implementation
Understand Spiking Neural Network through code implementation
If you want to understand how spiking neural networks work and implement them with Pytorch, you’ve come to the right place.
Arthur Lagacherie
Jul 12
Unveiling Global Top Selling Books: How Data Analytics Shapes Literary Success
Unveiling Global Top Selling Books: How Data Analytics Shapes Literary Success
In the dynamic world of literature, understanding what makes a book a global bestseller isn’t just about critical acclaim or luck — it’s…
Taeja Williams
Jul 12
How it’s Made: Counterfeit Money
How it’s Made: Counterfeit Money
Read part 2 here: Click Me!
Alimuhammadsecured
Jul 11
Why we need a new paradigm to achieve AGI
Why we need a new paradigm to achieve AGI
From the moment ChatGPT created a new reality around AI (artificial intelligence), everyone began speculating that we are near an AI…
Vassilios Karakoidas
Jul 11
Create an Image Captioning App with Gradio
Create an Image Captioning App with Gradio
In this article, we will use the BLIP model available on Hugging Face to create an image captioning app
Muhammad Ihsan
Jul 10
Predict Food Demand with Python (Part 2)
Predict Food Demand with Python (Part 2)
Comparing deep learning models with ml models for predicting demand of food supply chain.
Emmanuel Ikogho
Jul 10
Talend—Ultimate ETL Tool
Talend—Ultimate ETL Tool
Cheat sheet to understand the favorite one in data projects.
Sandra G
Jul 9
Google, Greenwashing, and the Great Carbon Debate
Google, Greenwashing, and the Great Carbon Debate
Why Carbon Creativity is Big Tech’s Latest Marketing Strategy
Faithe J Day
Jul 7
How to Implement a Tree of Thoughts in Python
How to Implement a Tree of Thoughts in Python
The concept of the “Tree of Thoughts” (ToT) is a powerful tool for allowing an LLM to explore a non-linear path through a problem space…
Stephen Collins
Jul 5
Generate your past with Generative AI
Generate your past with Generative AI
Yesterday, I saw at X, an Ad, that animated still photos with the usage of generative AI. At first, I thought “wow, that is really cool”…
Vassilios Karakoidas
Jul 5
Positional Encoding Explained: A Deep Dive into Transformer PE
Positional Encoding Explained: A Deep Dive into Transformer PE
Positional encoding is a crucial component of transformer models, yet it’s often overlooked and not given the attention it deserves. Many…
Nikhil Chowdary Paleti
Jul 5
Manipulation through data: US Elections and Cambridge Analytica — A 86 million people Data Breach
Manipulation through data: US Elections and Cambridge Analytica — A 86 million people Data Breach
All Magic Comes with a Price — Data Brockers and The Great Hack
Sandra G
Jul 4
RAG, RAG Fusion, and Fine-Tuning: A Comparative Analysis
RAG, RAG Fusion, and Fine-Tuning: A Comparative Analysis
Frank Morales Aguilera, BEng, MEng, SMIEEE
Frank Morales Aguilera
Jul 2
Regression Project — Predict Food Demand (Part 1)
Regression Project — Predict Food Demand (Part 1)
Deep learning Vs Machine learning for predicting demand of food supply chain.
Emmanuel Ikogho
Jul 2
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