How to Run Stable Diffusion 3X Faster at Lower Cost
Author(s): Towards AI Editorial Team Originally published on Towards AI. Available for Early Access on OctoML Compute Service on AWS This is a Sponsored Guest Post brought to you by OctoML. For a team of AI fanatics like us, it’s been …
Overcoming Catastrophic Forgetting: A Simple Guide to Elastic Weight Consolidation
Author(s): Yunzhe Wang Originally published on Towards AI. image by Midjourney The Problem of Catastrophic Forgetting In the field of artificial intelligence, deep learning models, especially neural networks, have shown great success in a wide range of applications. However, one major challenge …
Building Activation Functions for Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) A basic component of a deep neural network is the activation function (AF) — a non-linear function that shapes the final output of a node (“neuron”) in the network. Common …
Building Activation Functions for Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) A basic component of a deep neural network is the activation function (AF) — a non-linear function that shapes the final output of a node (“neuron”) in the network. Common …
This AI newsletter is all you need #44
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI has seen some exciting developments in the world of open-source language models together with further discussion on the legal standing …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
Introduction to GANs with TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. In this tutorial, we’ll cover the basics of GANs (Generative Adversarial Networks) step-by-step in TensorFlow. As an example, we’ll use a basic MNIST dataset Hello everyone! I’ll introduce you to Generative Adversarial Networks in …
This AI newsletter is all you need #43
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the competition in the race for Generative AI and LLMs continued to intensify. Amazon announced its foray into the space by hosting …
An Overview of Extreme Multilabel Classification (XML/XMLC)
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. Photo by Artem Maltsev on Unsplash Who hasn’t been on Stack Overflow to find the answer to a question? Correctly predicting the tags of the questions is a very challenging problem as it …
How To Build Your Own Question Answering Chatbot for Youtube Videos
Author(s): Ratul Ghosh Originally published on Towards AI. Unlocking the Power of LangChain: Tips and Tricks for Creating a ChatGPT type Bot with custom data sources. AI is undergoing a paradigm shift with the rise of foundation models or large pre-trained language …
Stochastic Parrots: A Novel Look at Large Language Models and Their Limitations
Author(s): Muhammad Saad Uddin Originally published on Towards AI. Image by Author via Stable Diffusion Recently, The term “stochastic parrots” has been making headlines in the AI and natural language processing (NLP) community. Particularly after the hype created by Large Language …
Striking the Right Balance: Understanding Underfitting and Overfitting in Machine Learning Models
Author(s): Shivamshinde Originally published on Towards AI. This article will explain the basic concept of overfitting and underfitting from the machine learning and deep learning perspective. Photo by Ag PIC on Unsplash Seeing underfitting and overfitting as a problem Every person working …
Decoding Handwritten Digits: The Fascinating World of Machine Learning
Author(s): Surya Maddula Originally published on Towards AI. Images used in my articles are Properties of the Respective Organisations and are used here solely for Reference, Illustrative and Educational Purposes Only. [Images Source: Google (Aside from some images, in whose case, the …
This AI newsletter is all you need #42
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie AI agents were in the spotlight in the AI and LLM community this week because of projects like Auto-GPT. The concept is that language …
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