PyTorch Wrapper to Build and Train Neural Networks
Author(s): Rokas Liuberskis Originally published on Towards AI. I will introduce the PyTorch Wrapper in this tutorial, saving us time when developing the PyTorch models training pipeline. We’ll be able to do this in blocks! The Most Advanced Data Science Roadmaps You’ve …
The rise of API-powered NLP apps: Hype Cycle, or a New Disruptive Industry?
Author(s): Nikola Nikolov Originally published on Towards AI. Image generated with Stable Diffusion. Large Language Models (LLMs) have come a long way in recent years. From fluent dialogue generation to text summarisation, and article generation, language models have made it extremely easy …
Trends in AI — March 2023
Author(s): Sergi Castella i Sapé Originally published on Towards AI. LLaMA from Meta, an embodied PALM-E model from Google, Consistency Models, and new OpenAI API endpoints plus juicy pricing for ChatGPT: 0.002$/1k tokens. Source: Zeta Alpha The fast-paced development of Large Language …
Maximizing the Impact of Data Augmentation: Effective Techniques and Best Practices
Author(s): Youssef Hosni Originally published on Towards AI. Data augmentation is a popular technique in machine learning that involves creating new data from existing data by making various modifications to it. These modifications could include adding noise, flipping images horizontally, or changing …
Everything We Know About GPT-4 So Far
Author(s): SPX Originally published on Towards AI. Image Source GPT-4 is the latest and most advanced language model developed by OpenAI, a Microsoft-backed company that aims to create artificial intelligence that can benefit humanity. GPT-4 is a successor of GPT-3, which was …
You Can No Longer Fail To Understand How To Use Large Language Models
Author(s): Michaël Karpe Originally published on Towards AI. A hands-on approach to learning how Large Language Models work in practice. Image by Alexandra Koch from Pixabay. Why a new article on Large Language Models? The launch and incredible speed of adoption of …
CLIP for Language-Image Representation
Author(s): Albert Nguyen Originally published on Towards AI. A multi-modal architecture bridges the gap between Natural Language and Visual understanding. Have you ever wondered how machines can understand the meaning behind a photograph? CLIP, the Contrastive Language-Image Pre-training model, is changing the …
This AI newsletter is all you need #38
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis This week, AI continues to thrive under competitive pressure, and excitement is building for the arrival of GPT-4. Tech giants, generative AI startups, and …
Microsoft’s MathPrompter Shows How to Use Mathematical Reasoning with Large Language Models
Author(s): Jesus Rodriguez Originally published on Towards AI. The model uses a four-step process to improve trust and reasoning in mathematical problems. This member-only story is on us. Upgrade to access all of Medium. I recently started an AI-focused educational newsletter, that …
How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?
Author(s): Reza Yazdanfar Originally published on Towards AI. Extending Transformers by memorizing up to 262K tokens This member-only story is on us. Upgrade to access all of Medium. This article is a fabulous attempt to leverage language models in memorizing information by …
A Comprehensive Introduction to Graph Neural Networks
Author(s): Anay Dongre Originally published on Towards AI. Graph Neural Networks (GNNs) is a type of neural network designed to operate on graph-structured data. In recent years, there has been a significant amount of research in the field of GNNs, and they …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
Mastering the Bias-Variance Dilemma: A Guide for Machine Learning Practitioners
Author(s): Chinmay Bhalerao Originally published on Towards AI. The Yin and Yang of Machine Learning: Balancing Bias and Variance Credits:tddcomics The bias-variance tradeoff is a fundamental concept in machine learning and statistics that relates to the ability of a model to accurately …
PCA: Bioinformatician’s Favorite Tool Can Be Misleading
Author(s): Salvatore Raieli Originally published on Towards AI. A new study assesses how a most used technique can be problematic This member-only story is on us. Upgrade to access all of Medium. Photo by NASA on Unsplash The principal component analysis (PCA)is …
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