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, itβs been …
When AI Speaks: Mastering the Art of Crafting Engaging AI Conversations
Author(s): Cezary Gesikowski Originally published on Towards AI. image by the author via Stable Diffusion 1.5 + Photoshop Beta Like many ambitious writers out there (as I imagine), I am sweating digital rivers while writing βthe next awesome AI novelβ with a …
DINOv2
Author(s): MichaΕ Oleszak Originally published on Towards AI. AI Pulse #1: DINOv2, All The LLMs & Open-Source AI A new foundational model for computer vision, making sense of the spree of open-source LLMs, and should AI be open-source? AI Pulse is also …
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 …
Inside Low-Code LLM: Microsoft Researchβs Novel Prompt Engineering Method Based on Human-LLM Interactions
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. …
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) β a non-linear function that shapes the final output of a node (βneuronβ) 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) β a non-linear function that shapes the final output of a node (βneuronβ) in the network. Common …
Cosine Similarity Classification Algorithm For Churn Prediction
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Cosine Similarity Because I used ChatGPT, I asked how I should cite it. Here is the citation from it: (If you would like to cite my help in your Medium article, you can include …
The Age of AlgoCamp: Exploration of Generative Art and Culture
Author(s): Cezary Gesikowski Originally published on Towards AI. βArtificial intelligence is like a mirror reflecting the vast expanse of human intellect, only to reveal our own limits and the profound potential for transcendence.β β quote from the article image by the author …
Letβs Explore the Data Like Sherlock Holmes!
Author(s): Gencay I. Originally published on Towards AI. Letβs explore the data like Sherlock Holmes: Created in Canvas Are you drowning in a sea of confusing data? Do you feel like Sherlock Holmes trying to solve a case? Fear not because, with …
Chat With Your Healthcare Documents: Build a Chatbot With ChatGPT and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Interactively query your PDF documents and extract insights. Did you know that 80% of healthcare data remains unused and unstructured? Traditional applications that rely solely on structured data can only use 20% of the …
How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
Build Impressive Data Science Projects: 10 Websites with Open Datasets to Build Your Portfolio
Author(s): Youssef Hosni Originally published on Towards AI. Data science is a rapidly growing field that combines statistical analysis, programming, and machine learning to extract insights from data. However, one of the biggest challenges for aspiring data scientists is finding high-quality, unique …
Prompt-Based Automated Data Labeling and Annotation
Author(s): Puneet Jindal Originally published on Towards AI. Generate your large training dataset in just less than an hour! What is the problem statement? 80% of the time goes in data preparation β¦β¦blah blahβ¦. garbage in garbage out for AI model accuracyβ¦..blah …
How to Train Neural Networks With Fewer Data Using Active Learning
Author(s): Leon Eversberg Originally published on Towards AI. A state-of-the-art guide to the theory and practice of deep active learning Oracle of Delphi. Photo by Walkerssk from Pixabay One of the biggest problems in supervised deep learning is the scarcity of labeled …
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