Mon.Jan 29, 2024

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7 Libraries for Machine Learning

Analytics Vidhya

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch. In this article, we will explore the top 7 libraries for machine learning and understand their features, use […] The post 7 Libraries for Machine Learning appeared first on Analytics Vidhya.

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How does data deduplication work?

IBM Journey to AI blog

Recent years have witnessed an explosion in the proliferation of self-storage units. These large, warehouse units have sprung up nationally as a booming industry because of one reason—the average person now has more possessions than they know what to do with. The same basic situation also plagues the world of IT. We’re in the midst of an explosion of data.

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Amplifying Deep Learning: A Dive into Data Augmentation Strategies

Analytics Vidhya

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in. This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya.

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The AI Assistant for everyone: watsonx Orchestrate combines generative AI and automation to boost productivity

IBM Journey to AI blog

What if employees had the ability to effortlessly delegate time-consuming tasks, access information seamlessly through simple inquiries, and tackle complex projects within a single, streamlined application? What if customers had access to an intelligent, friendly virtual agent to provide answers and enable self-service experiences around the clock? This technological revolution is now possible, thanks to the innovative capabilities of generative AI powered automation.

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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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Cybersecurity Alert: AI Makes Scam Emails More Convincing

Analytics Vidhya

Artificial intelligence is set to revolutionize cyber threats, warns the UK’s National Cyber Security Centre (NCSC). In their latest assessment, they highlight the potential for AI, particularly generative AI, to make phishing attacks more sophisticated, posing a significant challenge for individuals to distinguish genuine emails from fraudulent ones.

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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc. As LLMs become more powerful and sophisticated, so does the importance of measuring the performance of LLM-based applications.

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Evaluating Large Language Models: A Technical Guide

Unite.AI

Large language models (LLMs) like GPT-4, Claude, and LLaMA have exploded in popularity. Thanks to their ability to generate impressively human-like text, these AI systems are now being used for everything from content creation to customer service chatbots. But how do we know if these models are actually any good? With new LLMs being announced constantly, all claiming to be bigger and better, how do we evaluate and compare their performance?

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Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models

Analytics Vidhya

Microsoft is stepping up its game in the artificial intelligence (AI) landscape, forming a dedicated GenAI team to develop smaller and more cost-effective language models. This move signifies a shift away from dependency on OpenAI’s technology, a notable change in Microsoft’s approach to AI development. Also Read: Microsoft Introduces SliceGPT For Compressing LLMs The GenAI […] The post Microsoft’s New GenAI Team Targets Smaller and Cheaper AI Models appeared first on Ana

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Financial services introducing AI but hindered by data issues

AI News

According to research by EXL , around 89 percent of insurance and banking firms in the UK have introduced AI solutions over the past year. However, issues with data optimisation could hinder their impact. The researchers surveyed executives at top UK insurers and lenders about their AI strategies and found that 44 percent have deployed AI across eight or more business functions—especially in marketing, business development, and regulatory compliance.

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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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Microsoft Introduces SliceGPT For Compressing LLMs

Analytics Vidhya

To address the resource-intensive nature of LLMs, Microsoft introduces SliceGPT, a novel sparsification technique designed to compress models without sacrificing performance. Let’s examine the details of this new approach. What is Special About SliceGPT? Microsoft’s latest offering, SliceGPT, is an innovative solution for compressing large language models.

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Digital transformation examples

IBM Journey to AI blog

A digital transformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digital transformation initiatives. The main goal of a digital transformation is to use new digital technologies throughout all aspects of a business and improve business processes.

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A Must Read: 15 Essential AI Papers for GenAI Developers

Analytics Vidhya

Introduction As the field of artificial intelligence (AI) continues to grow and evolve, it becomes increasingly important for aspiring AI developers to stay updated with the latest research and advancements. One of the best ways to do this is by reading AI Papers for GenAI developers, which provide valuable insights into cutting-edge techniques and algorithms. […] The post A Must Read: 15 Essential AI Papers for GenAI Developers appeared first on Analytics Vidhya.

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The blueprint for a modern data center 

IBM Journey to AI blog

Part one of this series examined the dynamic forces behind data center retransformation. Now, we’ll look at designing the modern data center, exploring the role of advanced technologies, such as AI and containerization, in the quest for resiliency and sustainability. Strategize and plan for differentiation As a leader, you need to know where you want to take the business—understanding the trajectory of your organization is nonnegotiable.

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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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How to Save a Pandas Dataframe as a CSV?

Analytics Vidhya

Introduction Saving a Pandas dataframe as a CSV file is crucial in data analysis and science projects, facilitating easy data sharing and access across various applications. This article delves into essential elements such as file path configuration, delimiter customization, handling missing values, and memory optimization. Uncover best practices to produce precise and easily shareable CSV […] The post How to Save a Pandas Dataframe as a CSV?

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Navigating the Misinformation Era: The Case for Data-Centric Generative AI

Unite.AI

In the digital era, misinformation has emerged as a formidable challenge, especially in the field of Artificial Intelligence (AI). As generative AI models become increasingly integral to content creation and decision-making, they often rely on open-source databases like Wikipedia for foundational knowledge. However, the open nature of these sources, while advantageous for accessibility and collaborative knowledge building, also brings inherent risks.

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PayPal Introduces Game-Changing AI-Powered Features

Analytics Vidhya

PayPal, a global leader in digital payments, is set to revolutionize the e-commerce landscape with a slew of innovative AI-powered updates. These groundbreaking features, designed for both consumers and merchants, aim to enhance the overall shopping experience. In this article, we delve into the details of these upcoming enhancements that leverage artificial intelligence for unprecedented […] The post PayPal Introduces Game-Changing AI-Powered Features appeared first on Analytics Vidhya.

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Enhancing Low-Level Visual Skills in Language Models: Qualcomm AI Research Proposes the Look, Remember, and Reason (LRR) Multi-Modal Language Model

Marktechpost

Current multi-modal language models (LMs) face limitations in performing complex visual reasoning tasks. These tasks, such as compositional action recognition in videos, demand an intricate blend of low-level object motion and interaction analysis with high-level causal and compositional spatiotemporal reasoning. While these models excel in various areas, their effectiveness in tasks requiring detailed attention to fine-grained, low-level details alongside advanced rationale has yet to be fully

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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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Prophetic’s New AI Device – Morpheus-1 Will Make You Dream on-Demand

Analytics Vidhya

Prophetic’s new AI device – Morpheus-1 blends technology and neuroscience to explore human consciousness through lucid dreams. Claiming the world’s first multimodal generative ultrasonic transformer title, Morpheus-1 orchestrates a fusion of machine learning, EEG data, and ultrasound waves. It aspires to unravel the mysteries of human consciousness, offering a tangible pathway to dream control.

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Meet MaLA-500: A Novel Large Language Model Designed to Cover an Extensive Range of 534 Languages

Marktechpost

With new releases and introductions in the field of Artificial Intelligence (AI), Large Language Models (LLMs) are advancing significantly. They are showcasing their incredible capability of generating and comprehending natural language. However, there are certain difficulties experienced by LLMs with an emphasis on English when managing non-English languages, especially those with constrained resources.

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How to Sort Pandas DataFrame?

Analytics Vidhya

Introduction Pandas DataFrame is a powerful data structure in Python that allows for efficient data manipulation and analysis. Sorting is essential when working with data, as it helps better organise and understand the data. As an indispensable data structure, Pandas DataFrame empowers you to streamline and enhance your data-related tasks. Sorting, a fundamental operation in […] The post How to Sort Pandas DataFrame?

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Cornell Researchers Unveil MambaByte: A Game-Changing Language Model Outperforming MegaByte

Marktechpost

The evolution of language models is a critical component in the dynamic field of natural language processing. These models, essential for emulating human-like text comprehension and generation, are instrumental in various applications, from translation to conversational interfaces. The core challenge tackled in this area is refining model efficiency, particularly in managing lengthy data sequences.

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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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AI Can Turn Novices Into Powerful Hackers: British Spy Agency

Analytics Vidhya

In an ominous prediction, Britain’s spy agency, GCHQ, has issued a report highlighting the potential dangers of artificial intelligence (AI) in transforming novices into potent hackers. As we step into an era where the power of AI could make cyber warfare more accessible than ever, the report underscores the alarming threat landscape looming over the […] The post AI Can Turn Novices Into Powerful Hackers: British Spy Agency appeared first on Analytics Vidhya.

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This AI Paper from Google Unveils a Groundbreaking Non-Autoregressive, LM-Fused ASR System for Superior Multilingual Speech Recognition

Marktechpost

The evolution of technology in speech recognition has been marked by significant strides, but challenges like latency the time delay in processing spoken language, have continually impeded progress. This latency is especially pronounced in autoregressive models, which process speech sequentially, leading to delays. These delays are detrimental in real-time applications like live captioning or virtual assistants, where immediacy is key.

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Optimizing Neural Networks: Unveiling the Power of Quantization Techniques

Analytics Vidhya

Introduction Let’s say you have a talented friend who can recognize patterns, like determining whether an image contains a cat or a dog. Now, this friend has a precise way of doing things, like he has a dictionary in his head. But, here’s the problem: this encyclopedia is huge and requires significant time and effort […] The post Optimizing Neural Networks: Unveiling the Power of Quantization Techniques appeared first on Analytics Vidhya.

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Boston Children’s Researchers, in Joint Effort, Deploy AI Across Their Hip Clinic to Support Patients, Doctors

NVIDIA

Hip disorders, comprising some of the world’s most common joint diseases, are especially prevalent among adolescents and young adults, causing stiffness, pain or a limp. But they can be hard to diagnose using solely 2D medical imaging. Helping to treat these disorders, the Boston Children’s Hospital’s (BCH’s) Adolescent and Young Adult Hip Preservation Program is the U.S.’s first to deploy a fully automated AI tool across its clinic.

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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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Google Cuts Off Bard’s Training Company

Analytics Vidhya

In a surprising turn of events, Alphabet, the parent company of Google, has terminated its contract with Appen. The Australian AI data company is known for its role in training large language models and AI tools used in Google’s Bard, Search, and other products. This abrupt decision by Google has far-reaching consequences, not just for […] The post Google Cuts Off Bard’s Training Company appeared first on Analytics Vidhya.

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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

AWS Machine Learning Blog

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second. Although a single request to the deployed endpoint would exhibit a throughput approximately equal to the inverse of model latency, this is not necessarily the case when multiple concurrent requests are simultaneous

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What are the Ways to Filter Pandas DataFrame by Column Values?

Analytics Vidhya

Introduction Data filtering is a fundamental operation in data analysis and manipulation. It plays a pivotal role in extracting valuable insights from large datasets. Pandas, a widely used data manipulation library in Python, offers an array of techniques to filter DataFrames based on specific column values. This article aims to delve into various filtering methods […] The post What are the Ways to Filter Pandas DataFrame by Column Values?