Image Classification For Beginners

This article discusses the relationship between memorization, model size, and generalization in neural networks. It presents research findings on how larger neural models can exhibit varying degrees of memorization and explores the use of knowledge distillation…

Understanding the Importance of GUIs and Automation Graphical User Interfaces (GUIs) are essential for how we interact with computers. They help us perform tasks on websites, desktops, and mobile devices. Automating these interactions can significantly boost…

A new approach to creating mesmerizing optical illusions has emerged, eschewing assumptions about human perception by using a text-to-image diffusion model. This method generates multi-view illusions, including visual anagrams, polymorphic jigsaws, and even three to four…

Ghostbuster is a new method for detecting AI-generated text. It addresses the problem of large language models, like ChatGPT, being used for ghostwriting assignments and producing text with factual errors. Ghostbuster works by finding the probability…

The emergence of generative AI and its potential impact are causing a paradigm shift resembling the early days of the internet. With the technology inherited from it, generative AI presents unresolved issues including biases, copyright infringements,…

Understanding the Challenges in AI Evaluation Recently, large language models (LLMs) and vision-language models (VLMs) have made great strides in artificial intelligence. However, these models still face difficulties with tasks that require deep reasoning, long-term planning,…

Joy Buolamwini’s book, “Unmasking AI: My Mission to Protect What Is Human in a World of Machines,” discusses the concept of “x-risk,” the existential risk that AI poses. She argues that existing AI systems that cause…

AQLM is a pioneering strategy for extreme compression of large language models, reducing the trade-off between model size and computational efficiency. Developed by researchers from various institutions, it employs additive quantization to optimize performance. AQLM demonstrates…

This paper introduces a benchmark for continual large-scale training of CLIP models on time-varying data without distinct task separation, addressing the challenges of training with daily-generated Petabytes of data. Accepted at NeurIPS 2023 workshop on Distribution…

Introduction to Federated Learning in Healthcare Federated learning allows medical institutions to collaborate on training AI models while keeping patient data private. However, differences in data from various institutions can lead to challenges, such as poor…

Top 5 Factors to Consider Whether To Buy or Build Generative AI Solutions 1. Use Case Understanding the specific use case is crucial when deciding between buying or building a GenAI solution. Off-the-shelf solutions are ideal…

Journalists Nicholas Gage and Nicholas Basbanes have filed a copyright lawsuit against OpenAI and Microsoft, claiming their literary works were used without authorization to train ChatGPT. The lawsuit follows a similar case by The New York…

The Four Components of a Generative AI Workflow: Human, Interface, Data, and LLM Human Humans are crucial in training, supervising, and interacting with AI systems. Their expertise and creativity, training and supervision, and user interaction play…

Practical Applications of ChatGPT in Business Customer Support Automation ChatGPT powers chatbots for 24/7 customer assistance, freeing human agents to handle complex issues. Content Creation Generate diverse content types, reducing workload on creative teams and ensuring…

Microsoft is facing criticism from The Guardian for an AI-generated poll that accompanied a news story about a woman’s death. The poll prompted users to speculate on the cause of her death, with options including murder,…

The Breakthrough in Real-Time AI Video Generation: Pyramid Attention Broadcast Practical Solutions and Value: The Pyramid Attention Broadcast (PAB) method offers a breakthrough in real-time, high-quality video generation without compromising output quality. By targeting redundancy in…

OpenAI Codex CLI: Transforming Natural Language into Code Introduction to Codex CLI Command-line interfaces (CLIs) are essential tools for developers, enabling efficient system management and automation. However, they often require precise syntax and a deep understanding…

Transformer Explainer: An Innovative Web-Based Tool for Interactive Learning and Visualization of Complex AI Models for Non-Experts Practical Solutions and Value Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning.…

Practical AI Solutions for Your Company Discover the Value of TIGER-Lab’s MMLU-Pro Dataset If you want to evolve your company with AI, stay competitive, and leverage the latest advancements in AI technology, TIGER-Lab’s MMLU-Pro Dataset is…