Mon.May 06, 2024

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How to Build a ML Model in 1 Minute using ChatGPT

Analytics Vidhya

Introduction Machine learning (ML) has become a game-changer across industries, but its complexity can be intimidating. This article explores how to use ChatGPT to build machine learning models. We’ll look into how ChatGPT can assist in various stages of model creation, from data preparation to training and evaluation, all through an intuitive conversational interface.

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Large Action Models (LAMs): The Next Frontier in AI-Powered Interaction

Unite.AI

Almost a year ago, Mustafa Suleyman, co-founder of DeepMind, predicted that the era of generative AI would soon give way to something more interactive: systems capable of performing tasks by interacting with software applications and human resources. Today, we're beginning to see this vision take shape with the development of Rabbit AI ‘s new AI-powered operating system, R1.

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Forget Firewalls: 6 OpenAI Security Measures for Advanced AI Infrastructure

Analytics Vidhya

Introduction Artificial intelligence (AI) significantly impacts various sectors today. It can potentially revolutionize areas such as healthcare, education, and cybersecurity. Recognizing AI’s extensive influence, it’s crucial to emphasize the security of these advanced systems. Ensuring robust security measures allows stakeholders to fully leverage the benefits AI provides.

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IBM Mainframe Skills Council brings the global community together to grow mainframe talent

IBM Journey to AI blog

The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.

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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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Microsoft’s MAI-1: A New Competitor to AI Language Models from Google and OpenAI

Analytics Vidhya

As the race for dominance in the AI landscape intensifies, Microsoft is stepping into the ring with its latest venture, MAI-1. This in-house AI model signals Microsoft’s determination to assert its presence alongside industry giants like Google and OpenAI. Boasting an impressive 500 billion parameters, this new model promises to take AI development a leap […] The post Microsoft’s MAI-1: A New Competitor to AI Language Models from Google and OpenAI appeared first on Analytics Vi

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Advanced RAG Technique : Langchain ReAct and Cohere

Analytics Vidhya

Introduction This article explores Adaptive Question-Answering (QA) frameworks, specifically the Adaptive RAG strategy. It discusses how this framework dynamically selects the most suitable method for large language models (LLMs) based on query complexity. It highlights the learning objectives, features, and implementation of Adaptive RAG, its efficiency, and its integration with Langchain and Cohere LLM.

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Build the foundation for SAP ERP modernization 

IBM Journey to AI blog

Successful SAP ERP modernization programs begin with clear organizational alignment on wanted outcomes and expected business value, end-to-end scope and roadmap. This alignment is critical to enterprises that run their core operations on SAP ECC for years. It helps them determine where to start their modernization initiatives and how to prioritize, organize and plan to see the value of this investment.

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A Beginner’s Guide to Evaluating RAG Pipelines Using RAGAS

Analytics Vidhya

Introduction In the ever-evolving landscape of machine learning and artificial intelligence, the development of language model applications, particularly Retrieval Augmented Generation (RAG) systems, is becoming increasingly sophisticated. However, the real challenge surfaces not during the initial creation but in the ongoing maintenance and enhancement of these applications.

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Enterprises’ best bet for the future: Securing generative AI  

IBM Journey to AI blog

IBM and AWS study: Less than 25% of current generative AI projects are being secured The enterprise world has long operated on the notion that trust is the currency of good business. But as AI transforms and redefines how businesses operate and how customers interact with them, trust in technology must be built. Advances in AI can free human capital to focus on high-value deliverables.

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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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Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0

Analytics Vidhya

Introduction Visual Language Models (VLMs) are revolutionizing the way machines comprehend and interact with both images and text. These models skillfully combine techniques from image processing with the subtleties of language comprehension. This integration enhances the capabilities of artificial intelligence (AI). Nvidia and MIT have recently launched a VLM named VILA, enhancing the capabilities of […] The post Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0 appeare

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MaxDiff RL Algorithm Improves Robotic Learning with “Designed Randomness”

Unite.AI

In a groundbreaking development , engineers at Northwestern University have created a new AI algorithm that promises to transform the field of smart robotics. The algorithm, named Maximum Diffusion Reinforcement Learning (MaxDiff RL), is designed to help robots learn complex skills rapidly and reliably, potentially revolutionizing the practicality and safety of robots across a wide range of applications, from self-driving vehicles to household assistants and industrial automation.

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30 Quick Pandas Tips and Tricks for Beginners

Analytics Vidhya

Introduction Reading this article is essential for anyone looking to enhance their proficiency in Python data manipulation and analysis using Pandas. Whether you’re a beginner or an experienced data practitioner, this tutorial offers a wealth of insights and techniques to streamline your workflow and maximize your productivity. By mastering the 30 tips and tricks outlined […] The post 30 Quick Pandas Tips and Tricks for Beginners appeared first on Analytics Vidhya.

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Lalal.ai Review: The #1 AI Background Noise Remover?

Unite.AI

Removing unwanted noise from audio tracks has always been challenging for content creators, musicians, and producers. With Lalal.ai , that's no longer the case! Lalal.ai enhances audio with its AI stem splitter, background noise remover, and voice changer. The AI stem splitter seamlessly separates vocals and specific instruments from audio tracks, giving you the flexibility to create cleaner, more professional-sounding mixes.

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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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30+ Python Tips and Tricks

Analytics Vidhya

Introduction Unlocking your coding potential requires investigating the syntax and feature set of Python. You may optimize your code for performance and elegance by learning basic concepts like list comprehensions, generating expressions, and unpacking. Explore a vast array of carefully selected 30+ Python tips and tricks that are sure to improve your programming skills and […] The post 30+ Python Tips and Tricks appeared first on Analytics Vidhya.

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ScalaHosting Review: The Best High-performance Host for Your Website?

Unite.AI

As a website manager and digital marketer, I've had to evaluate diverse hosting providers to find the perfect fit for my client's websites. And in my experience, I have discovered that it's rare to find a reliable web host that offers fully managed, robust cloud hosting solutions at affordable prices. I'd say that attracted me to ScalaHosting. In this ScalaHosting review, we'll take a deep dive into its features, plans, performance stats, customer support, and other vitals.

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Meet Devin’s Rival: Here’s How You Should Work on GitHub Copilot Workspace

Analytics Vidhya

Introduction AI is reshaping software development, and GitHub is at the forefront. In just two years, we’ve seen a dramatic shift with the introduction of GitHub Copilot, the AI-powered code completion tool for editors, boosting productivity by up to 55%. We’re pushing the boundaries even further with GitHub Copilot Workspace: the first Copilot-native developer environment. […] The post Meet Devin’s Rival: Here’s How You Should Work on GitHub Copilot Workspace appeared fi

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Dr. Pandurang Kamat, Chief Technology Officer, Persistent Systems – Interview Series

Unite.AI

Dr. Pandurang Kamat is Chief Technology Officer at Persistent Systems, he is responsible for advanced technology research focused on unlocking business value through innovation at scale. He is a seasoned technology leader who helps customers improve user experience, optimize business processes, and create new digital products. His vision for Persistent is to be an innovation powerhouse that anchors a global and diverse innovation ecosystem, comprising of academia and start-ups.

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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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NVIDIA’s Visual Language Model VILA Enhances Multimodal AI Capabilities

Analytics Vidhya

The artificial intelligence (AI) landscape continues to evolve, demanding models capable of handling vast datasets and delivering precise insights. Fulfilling these needs, researchers at NVIDIA and MIT have recently introduced a Visual Language Model (VLM), VILA. This new AI model stands out for its exceptional ability to reason among multiple images.

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Text to 3D Avatar Animation: A New Era in Virtual Character Creation

Marktechpost

Creating 3D avatar animations from text input represents a significant leap forward. Imagine simply typing a few sentences and watching a detailed, lifelike avatar spring to life on your screen, moving with realistic animations. This technology isn’t a sci-fi fantasy; it’s an exciting reality driven by cutting-edge artificial intelligence (AI).

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5 Generative AI Trends in the Digital Workplace

Analytics Vidhya

Introduction Generative AI is deeply changing the digital workplace. It offers innovative solutions that automate complex tasks, boost productivity, and simplify various operations. These AI technologies are crucial for creating more efficient workflows and creating a work environment that adapts quickly to user needs. By handling routine and complex tasks, generative AI tools like ChatGPT […] The post 5 Generative AI Trends in the Digital Workplace appeared first on Analytics Vidhya.

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DLAP: A Deep Learning Augmented LLMs Prompting Framework for Software Vulnerability Detection

Marktechpost

Software vulnerability detection is a critical field focused on safeguarding system security and user privacy by identifying security flaws in software systems. Ensuring software systems are secure against potential attacks is crucial with increasingly sophisticated cyber threats. The application of advanced AI technologies, particularly large language models (LLMs) and deep learning, has become instrumental in enhancing the detection of software vulnerabilities.

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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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NVIDIA and Alphabet’s Intrinsic Put Next-Gen Robotics Within Grasp

NVIDIA

Intrinsic, a software and AI robotics company at Alphabet, has integrated NVIDIA AI and Isaac platform technologies to advance the complex field of autonomous robotic manipulation. This week at the Automate trade show, in Chicago, Intrinsic is spotlighting leaps in robotic grasping and industrial scalability assisted by foundation models enabled by NVIDIA Isaac Manipulator, unlocking new value in industrial automation with AI.

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Nvidia Publishes A Competitive Llama3-70B Quality Assurance (QA) / Retrieval-Augmented Generation (RAG) Fine-Tune Model

Marktechpost

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. Recently, Nvidia has published a competitive Llama3-70b QA/RAG fine-tune. The Llama3-ChatQA-1.5 model is a noteworthy accomplishment that marks a major advancement in Retrieval-Augmented Generation (RAG) and conversational quality assurance.

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Predicting Multiple Tokens at the Same Time: Inside Meta AI’s Technique for Faster and More Optimal LLMs

Towards AI

Last Updated on May 7, 2024 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts.

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This AI Paper by the University of Wisconsin-Madison Introduces an Innovative Retrieval-Augmented Adaptation for Vision-Language Models

Marktechpost

Researchers in computer vision and robotics consistently strive to improve autonomous systems’ perception capabilities. These systems are expected to comprehend their environment accurately in real-time. Developing new methods and algorithms allows for innovations that benefit various industries, including transportation, manufacturing, and healthcare.

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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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Building Private Copilot for Development Teams with Llama3

Towards AI

Last Updated on May 7, 2024 by Editorial Team Author(s): zhaozhiming Originally published on Towards AI. Many developers have likely used GitHub Copilot, a revolutionary development tool that significantly boosts productivity and gradually transforms programming habits. Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3.

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NASGraph: A Novel Graph-based Machine Learning Method for NAS Featuring Lightweight (CPU-only) Computation and is Data-Agnostic and Training-Free

Marktechpost

Designing state-of-the-art deep learning models is an incredibly complex challenge that researchers have been tackling using an approach called Neural Architecture Search (NAS). The goal of NAS is to automate the discovery of optimal neural network architectures for a given task by evaluating thousands of candidate architectures against a performance metric like accuracy on a validation dataset.

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Building Your GenAI Capability Stack – Danielle Benecke, Baker McKenzie

Artificial Lawyer

Danielle Benecke is the Founder and global head of Baker McKenzie’s Machine Learning Practice. Ahead of the Legal Innovators California conference on June 4 +.