Sat.Mar 30, 2024 - Fri.Apr 05, 2024

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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Introducing Universal-1

AssemblyAI

Today, AssemblyAI is launching Universal-1 ,  our most capable and highly trained speech recognition model. Trained on over 12.5 million hours of multilingual audio data, Universal-1 achieves best-in-class speech-to-text accuracy, reduces word error rate and hallucinations, improves timestamp estimation, and helps us continue to raise the bar as the industry-leading Speech AI provider.

OpenAI 347
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Google Faces Significant Challenges and Competition as It Considers Charging for AI Search

Unite.AI

For years, Google has dominated the online search market, with its search engine serving as the primary tool for billions of users seeking information on the web. However, the rise of AI-powered search competitors and Chatbots, such as OpenAI's ChatGPT and Perplexity AI , has begun to pose a significant threat to Google's long-standing supremacy. These emerging platforms leverage advanced natural language processing (NLP) and machine learning technologies to provide users with more sophisticated

AI 303
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The advantages and disadvantages of private cloud 

IBM Journey to AI blog

The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028,

DevOps 289
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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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Top 7 Artificial Intelligence (AI) Internships for Freshers

Analytics Vidhya

Introduction In the rapidly evolving field of artificial intelligence (AI), where technology is developing at a dizzying rate and innovation is shaping the future, internships become essential entry points for future professionals. By bridging the gap between academic knowledge and practical application, these immersive learning activities offer priceless insights, skills, and networking possibilities.

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5 Best AI Document Management Solutions (April 2024)

Unite.AI

In the fast-paced digital era, businesses are constantly seeking innovative solutions to streamline their document management processes. As artificial intelligence (AI) continues to transform various aspects of modern work, AI-powered document management systems have emerged as game-changers, offering unparalleled efficiency, accuracy, and security.

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Using generative AI to accelerate product innovation

IBM Journey to AI blog

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers. Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. 1.

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Guide to Fine-tuning Gemini for Masking PII Data

Analytics Vidhya

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training.

BERT 348
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A Builder's Guide to Evals for LLM-based Applications

Eugene Yan

Evals for classification, summarization, translation, copyright regurgitation, and toxicity.

LLM 173
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Groundbreaking Biomimetic Olfactory Chips Use AI to Enable Robots to Smell

Unite.AI

The development of artificial olfactory sensors has been a long-standing challenge for researchers worldwide. Creating electronic noses (e-noses) that can effectively discern complex odorant mixtures, similar to the biological olfactory system, has proven difficult due to issues with miniaturization and recognition capabilities. However, a research team led by Prof.

Robotics 243
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How Backstage streamlines software development and increases efficiency

IBM Journey to AI blog

Even the best organizations face challenges about the scale and scope of governance and efficient streamlining of their resources across the enterprise. These challenges can lead to a frustrating, fragmented and disjointed developer experience. Meanwhile, different groups of developers within the organization inevitably bring different views about what one centralized code-base and tooling set should look like.

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Cohere Launches Command R+ on Azure, Leading the Way in Enterprise AI

Analytics Vidhya

Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. This decision, despite a long-standing partnership with Oracle, marks a significant shift in Cohere’s approach to cloud deployment. Let’s explore the features and implications of this new model.

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Build Audio LLM Apps with AssemblyAI

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community LeMUR Cookbooks: Build Audio LLM Apps LeMUR  is the easiest way to code applications that apply LLMs to speech. In just a few lines of code, you can  search ,  summarize ,  ask questions , and  generate text  across your audio and video data.

LLM 162
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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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MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Unite.AI

Recent advancements in Large Vision Language Models (LVLMs) have shown that scaling these frameworks significantly boosts performance across a variety of downstream tasks. LVLMs, including MiniGPT, LLaMA, and others, have achieved remarkable capabilities by incorporating visual projection layers and an image encoder into their architecture. By implementing these components, LVLMs enhance the visual perception capabilities of Large Language Models (LLMs).

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An integrated asset management data platform

IBM Journey to AI blog

Part 2 of this four-part series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management. In this part, we discuss the integrated asset management platform and data exchange that unite business disciplines in different domains in one network.

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Apple Launches ReALM Model that Outperforms GPT-4

Analytics Vidhya

Apple researchers have unveiled ReALM, an innovative AI system designed to enhance voice assistants‘ understanding of on-screen content and context. The AI enables more natural interactions with devices by converting visual elements into text, thereby transforming user experience. Let us explore this new technology and also find out how it compares with existing models such […] The post Apple Launches ReALM Model that Outperforms GPT-4 appeared first on Analytics Vidhya.

AI 328
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Transcribe an audio file with Universal-1 using Go

AssemblyAI

We recently announced our latest speech model, Universal-1, which sets a new standard for speech-to-text accuracy. Trained on millions of hours of audio data, Universal-1 demonstrates near-human accuracy, even with accented speech, background noise, and difficult phrases like flight numbers and email addresses. Universal-1 is also an order of magnitude faster than our previous model, Conformer-2 , and supports English, Spanish, French, and German, with more languages coming shortly.

Chatbots 162
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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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The Rise of Time-Series Foundation Models for Data Analysis and Forecasting

Unite.AI

Time series forecasting plays a vital role in crucial decision-making processes across various industries such as retail, finance, manufacturing, and healthcare. However, compared to domains like natural language processing and image recognition , the integration of advanced artificial intelligence (AI) techniques into time series forecasting has been relatively slow.

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The convergence of HPC and AI: Driving innovation at speed  

IBM Journey to AI blog

In today’s rapidly changing landscape, delivering higher-quality products to the market faster is essential for success. Many industries rely on high-performance computing (HPC) to achieve this goal. Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth.

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Replit Launches AI Code Repair Tool

Analytics Vidhya

Replit, an AI-driven software creation platform, has enhanced its Integrated Development Environment (IDE) through AI integration. At the Developer Day event held on April 2nd, Replit launched an innovative AI code repair tool and a collaborative platform named Replit Teams on its IDE. Replit Teams aims to provide developers with a new experience in collaboration […] The post Replit Launches AI Code Repair Tool appeared first on Analytics Vidhya.

AI 327
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NVIDIA Ranked by Fortune at No. 3 on ‘100 Best Companies to Work For’ List

NVIDIA

NVIDIA jumped to No. 3 on the latest list of America’s 100 Best Companies to Work For by Fortune magazine and Great Place to Work. It’s the company’s eighth consecutive year and highest ranking yet on the widely followed list, published today, which more than a thousand businesses vie to land on. NVIDIA ranked sixth last year. “Since the COVID pandemic, employees are increasingly prioritizing work-life balance, mission alignment and empathetic workplaces,” Fortune wrote, with hotelier Hilton tak

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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From Static Slides to Smart Speeches: The Rise of AI-Powered Presentations

Unite.AI

In the age of information overload, capturing and keeping an audience's attention is a challenge. Public speaking is undergoing a revolution, and at the forefront is artificial intelligence (AI). From crafting compelling content to analyzing delivery, AI is transforming the way we present information. This blog post dives into the exciting future of presentations, exploring how AI is empowering speakers to create impactful and engaging experiences for their audiences.

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Exploring architectural choices: Options for running IBM TRIRIGA Application Suite on AWS with Red Hat OpenShift

IBM Journey to AI blog

IBM ® TRIRIGA ® Application Suite (TAS) is a market-leading  integrated workplace management system for organizations managing their facility portfolios and assets throughout their lifecycle efficiently. It helps organizations optimize their workplace experience , facility resource scheduling, facility strategic planning, lease accounting and asset disposal, and manage their transactions, capital projects , space , facility maintenance and facility sustainability.

AI 205
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any() and all() in Python with Examples

Analytics Vidhya

Introduction Mastering any() and all() functions in Python is essential for efficiently handling collections such as lists and tuples. These functions provide a swift means to assess whether elements within a collection satisfy specific conditions, leading to neater and more streamlined code. Leveraging these tools can greatly ease the decision-making process within your code by […] The post any() and all() in Python with Examples appeared first on Analytics Vidhya.

Python 327
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Adaptive-RAG: Enhancing Large Language Models by Question-Answering Systems with Dynamic Strategy Selection for Query Complexity

Marktechpost

In the evolving field of Retrieval-Augmented Generation (RAG), the quest for refining question-answering (QA) capabilities remain at the forefront of research. Integrating external knowledge bases with large language models (LLMs) has unlocked new avenues for enhancing the accuracy of responses in various tasks. However, a challenge that persists is the model’s ability to efficiently navigate the spectrum of query complexities, ranging from straightforward questions to intricate multi-step

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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How to Not Boil the Oceans with AI

Unite.AI

As we navigate the frontier of artificial intelligence, I find myself constantly reflecting on the dual nature of the technology we're pioneering. AI, in its essence, is not just an assembly of algorithms and datasets; it's a manifestation of our collective ingenuity, aimed at solving some of the most intricate challenges facing humanity. Yet, as the co-founder and CEO of Lemurian Labs , I'm acutely aware of the responsibility that accompanies our race toward integrating AI into the very fabric

AI 189
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How your business can prioritize responsible AI with IBM watsonx 

IBM Journey to AI blog

Over the next decade, AI will impact all industries and help shape which companies, teams and executives come out ahead. This is why we’ve seen so many early AI adopters in sports, where even the slightest competitive advantage can be the difference between first and second place. Take last year’s US Open , for example, where IBM watsonx™ projected the level of advantage or disadvantage of all players in the singles draw.

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Getting Started with GNN Implementation

Analytics Vidhya

Introduction In recent years, Graph Neural Networks (GNNs) have emerged as a potent tool for analyzing and understanding graph-structured data. By leveraging the inherent structure and relationships within graphs, GNNs offer a unique approach to solving a wide range of machine learning tasks. In this blog, we will explore this concept from theory to GNN […] The post Getting Started with GNN Implementation appeared first on Analytics Vidhya.