Analytics Vidhya

JANUARY 13, 2024

Introduction Delving into the core of Linux, file permissions stand as the bedrock of the system’s security and functionality. Proficiency in manipulating these permissions is essential for those aiming to excel in Linux. The chmod command, an abbreviation for “change mode,” acts as the key tool for modifying access rights to files and directories.

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Marktechpost

JANUARY 13, 2024

The challenge of interpreting the workings of complex neural networks, particularly as they grow in size and sophistication, has been a persistent hurdle in artificial intelligence. Understanding their behavior becomes increasingly crucial for effective deployment and improvement as these models evolve. The traditional methods of explaining neural networks often involve extensive human oversight, limiting scalability.

Neural Network 145

Neural Network Artificial Intelligence Artificial Intelligence Automation 145

Analytics Vidhya

JANUARY 13, 2024

Introduction Welcome to “A Comprehensive Guide to Python Docstrings,” where we embark on a journey into documenting Python code effectively. Docstrings are pivotal in enhancing code readability, maintainability, and collaboration among developers. In this detailed exploration, we will unravel the intricacies of Python docstrings, covering their importance, types, and how to write python docstrings.

Python 302

Python 302

Marktechpost

JANUARY 13, 2024

There is a growing need to develop methods capable of efficiently processing and interpreting data from various document formats. This challenge is particularly pronounced in handling visually rich documents (VrDs), such as business forms, receipts, and invoices. These documents, often in PDF or image formats, present a complex interplay of text, layout, and visual elements, necessitating innovative approaches for accurate information extraction.

AI Researcher 133

AI Researcher AI Research Large Language Models Neural Network 133

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Analytics Vidhya

JANUARY 13, 2024

Introduction Python is a powerful programming language that offers a wide range of modules for various applications. One such module is the statistics module, which provides a comprehensive set of functions for statistical operations. In this blog, we will explore the Python statistics module in detail, covering all the methods, how to use them, and […] The post Various Uses of Python Statistics Module & Its Functions appeared first on Analytics Vidhya.

Python 298

Python 298

Analytics Vidhya

JANUARY 13, 2024

Ready to challenge your knowledge! This quiz series features 10 thought-provoking questions on MongoDB. Whether you’re an expert or a curious learner, our quizzes cater to all levels. Embark on this journey of continuous learning and test your knowledge across pivotal topics shaping the future of analytics and technology. Let’s Begin! Thanks for participating!

Continuous Learning 294

Continuous Learning AI AI 294

Marktechpost

JANUARY 13, 2024

Generative Artificial Intelligence (AI) has transformed a number of fields, ranging from education and healthcare to the workplace. The fundamental component, which is deep learning, provides AI with the ability to recognize and create complex patterns in data. A key factor in this development has been the development of generative AI, which can develop unique and creative data samples that accurately reflect the statistical properties of a given dataset.

Machine Learning 131

Machine Learning Artificial Intelligence Artificial Intelligence Deep Learning 131

Towards AI

JANUARY 13, 2024

Last Updated on January 14, 2024 by Editorial Team Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. LLMLingua uses GPT2-small and LLaMA-2-7B to decrease the prompt size by 20x TLDR: If you want to U+1F4B0 Save Cost by reducing both prompt and generation lengths.U+1F4DD Extend Context Support beyond Model limits of the APIs and ModelsU+1F4DC Mitigates the “lost in the middle” issue and boost overall performance.U+1F575️ Retain Knowledge from the original prompt while IC

OpenAI 115

OpenAI Algorithm AI AI 115

Marktechpost

JANUARY 13, 2024

Large Language Models (LLMs) generally face difficulties with multi-step problems and long-term planning, which is an important step in designing scientific experiments. A recent research introduces a method, Bioplanner, that addresses the challenge of automating the generation of accurate protocols for scientific experiments. Researchers from Align to Innovate, Francis Crick Institute, Future House and University of Oxford introduced an automatic evaluation framework along with a dataset, BIOPR

Automation 128

Automation Large Language Models LLM AI 128

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Extreme Tech

JANUARY 13, 2024

C, the cosmic speed limit, is the fastest anything in the universe can go. But how fast is that? And how do we know?

Explainability 124

Explainability 124

Marktechpost

JANUARY 13, 2024

Text-to-image synthesis is a revolutionary technology that converts textual descriptions into vivid visual content. This technology’s significance lies in its potential applications, ranging from artistic digital creation to practical design assistance across various sectors. However, a pressing challenge in this domain is creating models that balance high-quality image generation with computational efficiency, particularly for users with constrained computational resources.

AI 127

AI AI ML Computer Vision 127

Heartbeat

JANUARY 13, 2024

Quick Summary In this article, I’ll show you how to create amazing images from audio using the magic of Machine Learning and the Transformers models. I’ll explain each step clearly, uncover the secrets behind Whisper, and highlight the incredible abilities of Hugging Face models. By the end, you’ll know how to transform audio into stunning images with these powerful tools.

Machine Learning 52

Machine Learning NLP Python Deep Learning 52

Marktechpost

JANUARY 13, 2024

Quantum devices are those based on the principles of quantum mechanics, and they perform tasks that are not feasible using classical methods. They are useful in many fields, including climate modeling, finance, and drug discovery. With the growth of Machine Learning, researchers have started using machine learning in quantum devices. However, the efficient scaling and combination of individual quantum devices must be figured out.

Machine Learning 119

Machine Learning ML Artificial Intelligence Artificial Intelligence 119

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Mlearning.ai

JANUARY 13, 2024

Another post in the automation series written last September was on running audit tests on a restaurant transaction dataset shown below. Automate Audit Tests The setup was through tick boxes users could select for the kinds of tests they would like to run. When converting this functionality to a mobile format, I had changed the tick boxes to a chat functionality and added the ability to direct the user to focus on specific kinds of individuals to investigate.

Chatbots 52

Chatbots Automation AI AI 52

Marktechpost

JANUARY 13, 2024

State Space Models (SSMs) and Transformers have emerged as pivotal components in sequential modeling. The challenge lies in optimizing the scalability of SSMs, which have shown promising potential but are yet to surpass the dominance of Transformers. This research addresses the need to enhance the scaling capabilities of SSMs by proposing a fusion with a Mixture of Experts (MoE).

Machine Learning 85

Machine Learning AI AI ML 85

Unite.AI

JANUARY 13, 2024

Up until now, object detection in images using computer vision models faced a major roadblock of a few seconds of lag due to processing time. This delay hindered practical adoption in use cases like autonomous driving. However, the YOLOv8 computer vision model's release by Ultralytics has broken through the processing delay. The new model can detect objects in real time with unparalleled accuracy and speed, making it popular in the computer vision space.

Computer Vision 259

Computer Vision Python Explainability AI 259

Marktechpost

JANUARY 13, 2024

There has been a dramatic increase in the complexity of the computer vision model landscape. Many models are now at your fingertips, from the first ConvNets to the latest Vision Transformers. Just as supervised learning on ImageNet gave way to self-supervised learning and image-text pair training, such as CLIP, so did training paradigms. Compared to ResNets, CLIP’s visual encoder is far more resilient and transferable, even though it has comparable ImageNet accuracy.

Convolutional Neural Networks 129

Convolutional Neural Networks Neural Network Computer Vision AI Researcher 129

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Marktechpost

JANUARY 13, 2024

In audio technology, researchers have made significant strides in developing models for audio generation. However, the challenge lies in creating models that can efficiently and accurately generate audio from various inputs, including textual descriptions. Earlier approaches have focused on autoregressive and diffusion-based models. While these approaches yield impressive results, they have drawbacks, such as high inference times and struggles with generating long-form sequences.

AI Modeling 123

AI Modeling AI AI ML 123