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Rethinking Overthinking: 5 Ways I Use ChatGPT as Cognitive Scaffolding
Author(s): Michelle Strom Originally published on Towards AI. Source: Konstantin Mironov Picture the organization of a 13-year-old’s room, where the notion of ‘cleaning’ involves shoving all the clutter under the bed. That’s my mind. That’s the adventure of having an ADHD brain. …
SaMD? We need AaMD! The Algorithm as A Medical Device
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Software as a Medical Device (SaMD) is a class of medical software that is intended to be used for one or more medical purposes without being part of a hardware medical …
Mastering Sentiment Analysis with Python using the Attention Mechanism
Author(s): The AI Quant Originally published on Towards AI. Businesses across industries now recognize the importance of understanding customer opinions and sentiments. By gauging the sentiment behind product reviews, brand mentions, and service feedback, companies can gain vital insights into customer satisfaction, …
Supercharge Your Skills With ChatGPT To Get a Head 99% Of Data Scientist
Author(s): Gencay I. Originally published on Towards AI. Image by Author Isn’t it time you leveraged the power of AI to elevate your data science skills? It’s no secret that ChatGPT has been a game-changer across various industries, owing to its remarkable …
Understanding K-Nearest Neighbors: A Simple Approach to Classification and Regression
Author(s): Pranay Rishith Originally published on Towards AI. Photo by Avi Waxman on Unsplash What is KNN Definition K-Nearest Neighbors (KNN) is a supervised algorithm. The basic idea behind KNN is to find K nearest data points in the training space to …
Harnessing the Power of LLMs: Code Generation Unleashed
Author(s): Patrick Meyer Originally published on Towards AI. Photo by Chris Ried on Unsplash Code generation using generative AI is an important new area used to predict code or program structure from incomplete data sources, programs written in another programming language, natural …
5 Use Cases to Leverage Large Language Models in Customer Service Interactions
Author(s): Sriram Parthasarathy Originally published on Towards AI. Customer service is the lifeblood of any successful business. Excellent customer service fosters customer loyalty, strengthens relationships, and boosts a brand’s reputation. Yet, with a huge volume of customer inquiries in the digital age, …
Connecting Yourself (Or Others) With Data Science Hiring Managers
Author(s): Adam Ross Nelson Originally published on Towards AI. Frequently folks ask me to connect them with a recruiter or a hiring manager. I’m happy to help with this! But there is a catch. You have to do some work first. You …
Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
Unmasking the Bookworm in AI: A Deep Dive into the Literary Knowledge of Large Language Models
Author(s): Cezary Gesikowski Originally published on Towards AI. “You don’t have to burn books to destroy a culture. Just get people to stop reading them.” — Ray Bradbury, author of the sci-fi novel “Fahrenheit 451” image: Unsplash In a groundbreaking study that …
Unleashing AI for Personal Enrichment: Harnessing ChatGPT-4’s Therapeutic Power
Author(s): Cezary Gesikowski Originally published on Towards AI. Revolutionizing Self-Reflection: An Innovative Approach to AI-Assisted Journaling image: Unsplash I’ve been leveraging the capabilities of ChatGPT-4 for my personal development over the last few months. I aimed to explore if it could help …
The Anatomy of a Full Large Language Model Langchain Application
Author(s): Mostafa Ibrahim Originally published on Towards AI. A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Photo by Simone Hutsch on Unsplash We are seeing a lot of use cases for langchain …
Building Domain-Specific Custom LLM Models: Harnessing the Power of Open Source Foundation Models
Author(s): Sriram Parthasarathy Originally published on Towards AI. The transformative potential of training large LLMs with domain-specific data. With AI on a private cloud, organizations can ensure that everything, including custom Language Models (LLMs), remains within their secure cloud environment, preserving data …
Holy Cow! Introducing DragGAN
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Fast LLM Inference on CPU: Introducing Q8-Chat Make your Generative AI images come to life I you are hoping to synthesize visual content that is flexible and can be controlled precisely …
Computer Vision Tutorial Series M2C2
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 2 — Convolutional Filters and Edge Detection Chapter 2— Filters Starting here? This article is part of a computer vision Tutorial Series. Here’s where you can start. Learning Objectives: What are Filters? What …
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