From Synonyms to GPT-3: The Ultimate Guide to Text Augmentation for Improving Minority Class Labels in NLP
Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. Image by vectorjuice on Freepik “In NLP, we often encounter problems related to class imbalance, where minority classes are underrepresented in the training data. Text augmentation techniques can help address this issue, improving …
Applying Exponential Smoothing for Accurate Time Series Forecasts
Author(s): David Andres Originally published on Towards AI. 1. Simple Exponential Smoothing Source: Image by euzepaulo on Unsplash Exponential Smoothing is a great method to predict future events based on past experiences. It’s especially handy when you’re dealing with a single type …
How to Design, Build and Publish a Python package?
Author(s): Prithivee Ramalingam Originally published on Towards AI. With Poetry What is a Package? In Python, a package organizes related modules (Python files) into a single hierarchical structure. Packages allow you to easily manage and reuse code across multiple projects and make …
The Surprising End of the AI Gigantic Model Era: Why Bigger Isn’t Always Better
Author(s): Cezary Gesikowski Originally published on Towards AI. OpenAI’s Sam Altman on why we need new ideas, not just bigger models, for AI’s future “We are not here to like *erk ourselves off about parameter counts.”—Sam Altman Image by the author: Large …
Summarising 3 Years of Google Colab Usage — The Good, the Bad, and The Ugly
Author(s): Ori Abramovsky Originally published on Towards AI. Meme generated by the author using imgflip.com The first time I met Google’s Colab was when we searched for a serverless solution to train our models. Until that point, our models were of a …
How to Get a Taste of Everything: Sampling Techniques
Author(s): Roli Trivedi Originally published on Towards AI. Mastering the art: Tips and tricks for successful sampling Photo by Natalia Gusakova on Unsplash Sampling is the process of selecting a subset(sample) from the population. It is done to get information about a …
Grounding DINO: Achieving SOTA Zero-Shot Learning Object Detection
Author(s): Rohini Vaidya Originally published on Towards AI. Enabling Robust and Flexible Detection of Novel Objects without Extensive Retraining or Data Collection The lack of flexibility is a major challenge with most object detection models as they are specifically trained to recognize …
PandasAI — Pandas Newborn child from ChatGPT
Author(s): Gencay I. Originally published on Towards AI. Revolutionizing Data Analysis with PandasAI: OpenAI’s Latest Innovation Uniting Machine Learning, Pandas, and ChatGPT Technology Image by Author — Created in Canvas and Dell E2 PandasAI is a new library that merges the power …
Transforming Canada’s Digital Future: A Blueprint for Success
Author(s): Cezary Gesikowski Originally published on Towards AI. How the Government of Canada is revolutionizing digital service delivery and embracing cutting-edge technology image: Unsplash Imagine a world where Canadians can access government services with a single click, where digital experiences are seamless …
Top Tools to Detect AI-Generated Text & How to Overcome Them?
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Artificial Intelligence (AI) has come a long way, and today, it’s able to generate text that is so human-like that it’s becoming increasingly difficult to distinguish between text written by a …
From Vision to Sound: How Meta’s ImageBind is Bridging Modalities in AI
Author(s): Sriram Parthasarathy Originally published on Towards AI. Unleashing the Power of Combined Senses: How ImageBind could redefine AI Experiences Combine an audio clip of a tractor and an image of a beach to generate a merged image where a tractor is …
A Comprehensive Introduction to AutoGPT: What It Is & How to Use It?
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Welcome to this comprehensive introduction to AutoGPT, where we delve into what it is, how it works, and how you can harness its power for various applications. In the age of …
The AI Revolution in the Mortgage Industry: A New Era of Homebuying
Author(s): Cezary Gesikowski Originally published on Towards AI. How Artificial Intelligence Is Streamlining Processes, Enhancing Customer Experience, and Transforming the Mortgage Landscape “AI is a game changer for home buyers, revolutionizing the mortgage industry and shaping the future of homeownership.” image by …
Cubic Polynomial Roots — Using Big Dipper Substitutes
Author(s): Greg Oliver Originally published on Towards AI. Substituting Cubics With Their Genetic Infrastructure To Find Roots This post presents a novel method of calculating approximate roots of Cubic polynomials y=x³+Cx+D, by adopting their genetic Big Dipper, y=-2x³+D skeleton infrastructure, which I …
5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with agent programs learning actions in an environment to minimize a loss function …
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