Quartic Dilation — Simpler With ‘Designer Ratios’
Author(s): Greg Oliver Originally published on Towards AI. A Simpler Way to Dilate Quartics: In One Radial MoveQuartic Dilation-In Red This member-only story is on us. Upgrade to access all of Medium. Often Polynomial vertical and horizontal dilation are treated separately rather …
How to Fine-Tune Language Models: First Principles to Scalable Performance
Author(s): Ehssan Originally published on Towards AI. Image by Author In this article, we’ll explore the process of fine-tuning language models for text classification. We’ll do so in three levels: first, by manually adding a classification head in PyTorch* and training the …
Going Beyond the 1000-Layer Convolution Network
Author(s): Bartosz Ludwiczuk Originally published on Towards AI. · Introduction· Vanishing gradient issue· Mitigation of the vanishing gradient issue· Training 1000 layer network· Training component analysis· Diving Deeper into Skip Connections· 10000-layer network Mean gradient for 1st layer in all experiments Introduction …
GPT-4o Python Charting Insanity: Prompting For Instant Data Visuals
Author(s): John Loewen, PhD Originally published on Towards AI. Hands-on no-code visuals from the UN population projection dataset This member-only story is on us. Upgrade to access all of Medium. The automatic data visualization generation tools for GPT-4o keep getting better and …
Mastering Polyak Averaging: A Hidden Gem for Smoother and Faster Convergence in Optimization
Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. From Gradient Descent to Polyak’s Method: A Machine Learning Tutorial This member-only story is on us. Upgrade to access all of Medium. Polyak Averaging is a powerful optimization technique often underutilized but can …
Logistic Regression: A Simple Guide to Intuition and Implementation in Python
Author(s): Maryam Sikander Originally published on Towards AI. Source: Photo by AltumCode on Unsplash When it comes to solving classification problems, logistic regression is often the first algorithm that comes to our mind. The theoretical concepts of logistic regression are essential for …
How to Utilize Random Forest for Geospatial Precision Agriculture, Step-by-Step Guide
Author(s): Stephen Chege Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Create by author Following up on my previous topic on 4 algorithms for precision agriculture, I want to narrow it down and …
Building Large Action Models: Insights from Microsoft
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 175,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Unlock the Power of Your AWS Security: A Comprehensive Guide to Protecting Your Cloud Investments
Author(s): Rudraksh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Alex Kulikov on Unsplash As businesses continue to migrate their workloads to the cloud, the importance of cloud security cannot beoverstated. …
Transform Image Data into Insights with VisualInsight’s AI Automation
Author(s): Yotam Braun Originally published on Towards AI. Extracting insights from images can often feel challenging. Whether you’re a researcher, an analyst, or simply curious, efficiently analyzing and understanding images is crucial but not always straightforward. This is where VisualInsight comes in. …
Showcasing Different Approaches for Implementing Multilingual RAG
Author(s): Michael Ghaly Originally published on Towards AI. Image Generated by Microsoft Copilot Retrieval-Augmented Generation (RAG) Large language models inherently possess a significant body of factual relational knowledge [1]. However, these models still exhibit limitations in their ability to expand and manipulate …
My 6 Secret Tips for Getting an ML Job in 2025
Author(s): Boris Meinardus Originally published on Towards AI. Getting a machine learning job in 2025 feels almost impossible… at least, if you don’t know what you are doing! This member-only story is on us. Upgrade to access all of Medium. Nowadays, I …
Building Multimodal RAG Application #7: Multimodal RAG with Multimodal LangChain
Author(s): Youssef Hosni Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Multimodal retrieval-augmented generation (RAG) is transforming how AI applications handle complex information by merging retrieval and generation capabilities across diverse data types, …
LSTM for Sequence Classification
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : Single Layer Architecture1. LSTM Architecture2. Learning in LSTM3. How LSTM solves issues in RNN4. Issues with LSTM5. Pytorch Code Stacked Layer Architecture1. Architecture Diagram2. Pytorch Code Single Layer Architecture LSTM …
AI Innovations and Insights 16: ASSISTRAG
Author(s): Florian June Originally published on Towards AI. The Dual RAG Engine of Thinking and Memory This member-only story is on us. Upgrade to access all of Medium. This article is the 16th in this promising series. Today, we will explore the …
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