Sat.Mar 11, 2023 - Fri.Mar 17, 2023

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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. For example, our Conformer-1 is built on top of the Efficient Conformer [ 3 ], a modification of the original Conformer architecture that introduces the following technical modifications: Progressive Downsampling – A progressive reduction scheme for the length of the encoded sequence, inspired by ContextNet [ 4 ].

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An Introduction to Large Language Models (LLMs)

Analytics Vidhya

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language. LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya.

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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

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Eight Graphs that Explain Software Engineering Salaries in 2023

Flipboard

Every year, online job search firms collect data about the salaries, skills, and overall job market for tech professionals, generally focusing on software engineers The numbers from job search firms Dice and Hired have been released. These 2022 numbers have been eagerly anticipated, given the turmoil generated by a spate of tech layoffs in latter part of the year that Dice estimates at more than 140,000.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Understanding Graph Neural Network with hands-on example| Part-2

Becoming Human

Photo by Paulius Andriekus on Unsplash Welcome back to the next part of this Blog Series on Graph Neural Networks! The following section will provide a little introduction to PyTorch Geometric , and then we’ll use this library to construct our very own Graph Neural Network! For this approach, I will make use of the MNIST-Superpixel dataset. Here is the first part of this series This portion of the series is also accessible in collab format, which can be found at this link - [link] PyTorch Geome

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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Towards Data Science »

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Denied by AI: How Medicare Advantage plans use algorithms to cut off care for seniors in need

Flipboard

An algorithm, not a doctor, predicted a rapid recovery for Frances Walter, an 85-year-old Wisconsin woman with a shattered left shoulder and an allergy to pain medicine. In 16.6 days, it estimated, she would be ready to leave her nursing home. On the 17th day, her Medicare Advantage insurer, Security Health Plan, followed the algorithm and cut off payment for her care, concluding she was ready to return to the apartment where she lived alone.

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OpenAI Delivers Summary of GPT-4’s Abilities

ODSC - Open Data Science

OpenAI has announced that GPT-4 is currently in development, and while there are no official release dates, there is plenty of excitement surrounding what this latest iteration of the GPT series may be capable of. Currently, it will be made available to ChatGPT Plus users and as an API for developers to build applications and services according to OpenAI’s announcement.

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Introduction to Apache Oozie

Analytics Vidhya

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Users of Oozie can describe dependencies between various jobs […] The post Introduction to Apache Oozie appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Designing great AI products?—?Personality and emotion

Becoming Human

Designing great AI products — Personality and emotion The following post is an excerpt from my book ‘Designing Human-Centric AI Experiences’ on applied UX design for Artificial intelligence. — Photo by Jason Leung on Unsplash We tend to anthropomorphize AI systems, i.e., we impute them with human-like qualities. Consumer demand for personality in AI dates back many decades in Hollywood and the video game industry ¹.

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Text Generation with LSTM in PyTorch

Flipboard

Recurrent neural network can be used for time series prediction. In which, a regression neural network is created. It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can […] The post Text Generation with LSTM in PyTorch appeared first on MachineLearningMastery.com.

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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning Blog

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. For customers who have been developing ML models on premises, such as their local desktop, they want to migrate their legacy ML models to the AWS Cloud to fully take advantage of the most comprehensive set of ML services, infrastructure, and implementation resources available on AWS.

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CPU vs GPU: Why GPUs are More Suited for Deep Learning?

Analytics Vidhya

Introduction I am sure you all are familiar with CPU, but have you heard the term GPU? If your answer is no, then this article is for you! With the advancement in technology, the processing systems have also advanced much, so knowing the right technology at the right time is necessary for efficient usage. So […] The post CPU vs GPU: Why GPUs are More Suited for Deep Learning?

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

AI drug discovery is exploding. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

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How to navigate today’s conversational AI and text generative landscape

Flipboard

OpenAI’s revolutionary chatbot ChatGPT has been all over the news in recent months, triggering technology giants such as Google and Baidu to accelerate their AI roadmaps.

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GPT-4

OpenAI

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

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Revolutionizing Document Processing Through DocVQA

Analytics Vidhya

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document. Unlike other types of visual question answering, where the focus is on […] The post Revolutionizing Document Processing Through DocVQA appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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What is MultiModal in AI?

Becoming Human

pixabay.com The multimodal model is an important concept in the field of artificial intelligence that refers to the integration of multiple modes of information or sensory data to facilitate human-like reasoning and decision-making. Traditionally, AI models have focused on processing information from a single modality, such as text, image, or speech.

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I’m an ER doctor: Here’s what I found when I asked ChatGPT to diagnose my patients

Flipboard

ChatGPT recently passed the U.S. Medical Licensing Exam, but using it for a real-world medical diagnosis would quickly turn deadly. With news that ChatGPT successfully “passed” the U.S. Medical Licensing Exam, I was curious how it would perform in a real-world medical situation.

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Use the metalog distribution in SAS

SAS Software

A previous article describes the metalog distribution (Keelin, 2016). The metalog distribution is a flexible family of distributions that can model a wide range of shapes for data distributions. The metalog system can model bounded, semibounded, and unbounded continuous distributions. This article shows how to use the metalog distribution in [.] The post Use the metalog distribution in SAS appeared first on SAS Blogs.

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Detect Cyberbullying Using Topic Modeling and Sentiment Analysis

Analytics Vidhya

Introduction With the rise in internet penetration across the world, followed by the rapid growth of social media companies, users are increasingly using various social media platforms to interact and engage with other like-minded individuals and also follow their favourite celebrities and influencers. With the increased use of social media, there has been a significant […] The post Detect Cyberbullying Using Topic Modeling and Sentiment Analysis appeared first on Analytics Vidhya.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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The Ethics of AI: How Can We Ensure its Responsible Use?

Becoming Human

As artificial intelligence (AI) continues to advance and become more pervasive in our daily lives, it is crucial that we consider the ethical implications of its use. AI has the potential to transform industries, improve our quality of life, and solve some of the world’s most pressing problems. However, we must ensure that AI is developed and used responsibly to avoid unintended consequences that could harm individuals or society as a whole.

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‘We are a little bit scared’: OpenAI CEO warns of risks of artificial intelligence

Flipboard

Sam Altman, CEO of OpenAI, the company that developed the controversial consumer-facing artificial intelligence application ChatGPT, has warned that the technology comes with real dangers as it reshapes society.

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Responsible AI at Google Research: The Impact Lab

Google Research AI blog

Posted by Jamila Smith-Loud, Human Rights & Social Impact Research Lead, Google Research, Responsible AI and Human-Centered Technology Team Globalized technology has the potential to create large-scale societal impact, and having a grounded research approach rooted in existing international human and civil rights standards is a critical component to assuring responsible and ethical AI development and deployment.

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Impact of Machine Learning on HR in 2023

Analytics Vidhya

Introduction Since the last decade, technology has been an integral part of all businesses. It is now the most critical factor determining the success of all business operations. New-age technologies like artificial intelligence and machine learning help drive greater efficiency and productivity and improve other business metrics. Until 2021, the machine learning market was estimated […] The post Impact of Machine Learning on HR in 2023 appeared first on Analytics Vidhya.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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How to Connect Text and Images

Becoming Human

Part 1: Understanding Zero-Shot Learning Image from Unsplash Despite deep learning’s revolutionary impact on computer vision, existing approaches are plagued by various significant problems. For example, traditional vision datasets are time-consuming and expensive to develop while only teaching a small subset of visual concepts. In this series, we will learn how to connect images and texts using a zero-shot classifier with hands-on examples.

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ChatGPT's Hallucinations Could Keep It from Succeeding

Flipboard

ChatGPT has wowed the world with the depth of its knowledge and the fluency of its responses, but one problem has hobbled its usefulness: It keeps hallucinating. Yes, large language models (LLMs) hallucinate , a concept popularized by Google AI researchers in 2018. Hallucination in this context refers to mistakes in the generated text that are semantically or syntactically plausible but are in fact incorrect or nonsensical.

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Train a MaskFormer Segmentation Model with Hugging Face Transformers

PyImageSearch

Table of Contents Train a MaskFormer Segmentation Model with Hugging Face ? Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? ?Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset About the Dataset Loading a Dataset with ? Datasets Dataset Visualization Instance Segmentation Annotations Important Notes Preprocessing the Dataset FeatureExtractor and ImageProcessor Classes Defining a