datascience - CybAI news

16 Nov

OLAP (Online Analytical Processing)

stp2y0 CommentsNewscoding, community, data, database, dataengineering, datascience, development, engineering, inclusive, software

OLAP (Online Analytical Processing) is a technology that enables analysts to extract and query data interactively from multidimensional data warehouses. It provides a way to analyze complex datasets for decision-making, typically in business intelligence (BI) applications. Definition of OLAP OLAP is a system for organizing large business databases and supporting complex analysis. Unlike OLTP (Online Transaction Processing), which focuses on fast, real-time transactional operations, OLAP emphasizes analytical operations such as summarizing, aggregating, and comparing data across multiple dimensions. Core Concept of OLAP At its core, OLAP uses a multidimensional data model, often referred to as a "cube." This cube allows…

27 Oct

Rethinking Self-Attention: Polynomial Activations for Capturing Long-Range Dependencies

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Rethinking Self-Attention: Polynomial Activations for Capturing Long-Range Dependencies. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview The paper proposes an alternative to the softmax activation function for self-attention layers in transformer models. It introduces a new "Self-Attention with Polynomial Activations" (SAPA) approach that uses polynomial functions instead of softmax. The authors provide a theoretical analysis of SAPA and compare it to softmax-based self-attention. Plain English Explanation The softmax function is commonly used in transformer models to calculate the attention…

14 Oct

Wi-Fi Reliability Boost with “It’s Your Turn” Channel Contention Mechanism

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Wi-Fi Reliability Boost with "It's Your Turn" Channel Contention Mechanism. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview A novel channel contention mechanism called "It's Your Turn" is proposed to improve the reliability of Wi-Fi networks. The mechanism aims to address the limitations of the current Listen-Before-Talk (LBT) approach used in the IEEE 802.11 standard. The proposed solution introduces a new channel access method that provides more coordinated access to the wireless medium. Plain English Explanation The paper presents…

08 Oct

LoRA and QLoRA: Simple Fine-Tuning Techniques Explained

stp2y0 CommentsNewsai, coding, community, datascience, development, engineering, inclusive, machinelearning, qlora, software

Fine-tuning large language models (LLMs) can be resource-intensive, requiring immense computational power. LoRA (Low-Rank Adaptation) and QLoRA (Quantized Low-Rank Adaptation) offer efficient alternatives for training these models while using fewer resources. In this post, we’ll explain what LoRA and QLoRA are, how they differ from full-parameter fine-tuning, and why QLoRA takes it a step further. What is fine-tuning? Fine-tuning refers to the process of taking a pre-trained model and adapting it to a specific task. Traditional full-parameter fine-tuning requires adjusting all the parameters of the model, which can be computationally expensive and memory-heavy. This is where LoRA and QLoRA come…

08 Oct

Frontier AI Developers Need Internal Audit Function to Address Key Governance Challenges

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Frontier AI Developers Need Internal Audit Function to Address Key Governance Challenges. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview Internal audit evaluates a company's risk management, control, and governance processes. It is independent from senior management and reports to the board of directors. Internal audit serves as the third line of defense in the Three Lines Model. The article highlights key governance challenges in frontier AI development. It argues that frontier AI developers need an internal audit function…

25 Sep

New defenses still fall short against adversarial attacks on Go AIs

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called New defenses still fall short against adversarial attacks on Go AIs. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview Previous research has shown that superhuman Go AI systems like KataGo can be defeated by simple adversarial strategies. This paper examines whether simple defenses can improve KataGo's performance against the worst-case scenarios. The paper tests three natural defenses: adversarial training on hand-constructed positions, iterated adversarial training, and changing the network architecture. Plain English Explanation The researchers wanted to see if…

20 Sep

Reconciling Conflicting Scaling Laws in Large Language Models

stp2y0 CommentsNewsai, beginners, coding, community, datascience, development, engineering, inclusive, machinelearning, software

This is a Plain English Papers summary of a research paper called Reconciling Conflicting Scaling Laws in Large Language Models. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper reconciles two influential scaling laws in machine learning: the Kaplan scaling law and the Chinchilla scaling law. The Kaplan scaling law suggests that model performance scales as a power law with respect to model size and compute. The Chinchilla scaling law suggests that model performance scales more efficiently by tuning the compute and dataset size together. The paper aims to resolve…

31 Aug

Why I got a Master’s Degree for AI / ML

stp2y0 CommentsNewscareer, coding, college, community, datascience, development, education, engineering, inclusive, software

This summer I completed my Master's of Science in Data Analytics through Franklin University, and I'm already reaping benefits to my career with a recent promotion to become a Wizard on the Innovation and Excellence team at Leading EDJE. But is a data science related master's degree right for everyone? Let's talk about my experience in the program, my reasons for pursuing it, and who a data science master's degree would be right for. Why I pursued a Master's Degree A number of years ago my father's health declined suddenly and we lost him to cancer detected just 6 weeks…

23 Aug

3 Ways to Store Computer Vision Data

stp2y0 CommentsNewscoding, community, computervision, database, datascience, development, engineering, inclusive, reductstore, software

When it comes to computer vision, data storage is a critical component. You need to be able to store images for model training, as well as the results of the processing for model validation. There are a few ways to go about this, each with its own advantages and disadvantages. In this post, we’ll take a look at three different ways to store data in computer vision applications: a file system, an S3-like object storage and ReductStore. We’ll also discuss some of the pros and cons of each option. A Simple Computer Vision Application For demonstration purposes, we’ll use a simple…

16 Aug

Machine Learning in Python Using Scikit-Learn: A Beginner’s Guide

stp2y0 CommentsNewscoding, community, datascience, development, engineering, inclusive, machinelearning, python, software

Are you interested in learning about machine learning using Python? Look no further than the Scikit-Learn library! This popular python library is designed for efficient data mining, analysis, and model building. In this guide, we will introduce you to the basics of Scikit-Learn and how you can start using it for your machine learning projects. What is Scikit-Learn?Scikit-Learn is a powerful and easy-to-use tool for data mining and analysis. It is built on top of other popular libraries like NumPy, SciPy, and Matplotlib. It is open-source and has a commercially available BSD license, making it accessible for anyone to use.…