2023

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7 Easy Ways to Access ChatGPT-4 for Free 

Analytics Vidhya

Introduction In the ever-evolving landscape of AI, OpenAI introduces its most remarkable creation yet – ChatGPT-4. This powerhouse of a language model not only possesses advanced linguistic capabilities but also boasts a groundbreaking vision component. With exceptional performance in reasoning tests and support for 26 languages, GPT-4 stands as OpenAI’s most versatile model to date. […] The post 7 Easy Ways to Access ChatGPT-4 for Free appeared first on Analytics Vidhya.

Analytics 328
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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

Disclaimer: Based on the announcement of the EO , without having seen the full text. While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. The EO seems to be requiring only data on the procedures and results of “Red Teaming” (i.e. adversarial testing to determine a model’s flaws and weak points), and not a wider range of inf

Modeling 305
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10 GitHub Repositories to Master Machine Learning

KDnuggets

The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.

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7 ways diversity and inclusion help teams perform better

CIO Business Intelligence

Diversity, equity, and inclusion have become important social issues. In the wake of the George Floyd and Breonna Taylor murders of 2020, companies made massive, highly publicized efforts to correct for systemic bias and improve the mix of race, gender, and lived experiences in the workplace. According to a recent study from Pew Research, most employed adults in the US think this is a good thing.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

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Bot Experience Engineer Is the Sexiest Job of the Next 10 Years

Dataiku

Thirteen years ago, 14 months after Geoffrey Hinton’s seminal deep learning tech talk , Google Chief Economist Hal Varian said that statisticians would be the sexiest job in the next 10 years. He was right, although we call them data scientists rather than statisticians. A new foundational machine learning model — deep learning — created demand for a new role to train those models.

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Backup Practices Could Cost You

Laminar Security

Do you know the data risks of your regular backup practices? Have you thought of the potential security ramifications of manual database dumps or S3 replication? If not, and even if you have, this is the post for you. I’ve previously discussed the risk of shadow data (those data stores you didn’t even know you had), and the team specifically dove into how versioning (a feature used to protect from accidental deletion) can unintentionally create shadow data.

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More Trending

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AI assistants optimize automation with API-based agents

IBM Big Data Hub

Generative AI-powered assistants are transforming businesses through intelligent conversational interfaces. Capable of understanding and generating human-like responses and content, these assistants are revolutionizing the way humans and machines collaborate. Large Language Models (LLMs) are at the heart of this new disruption. LLMs are trained on vast amounts of data and can be used across endless applications.

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The 5 Stages of Your Data Analytics Journey

TDAN

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

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15 Guided Projects to Sharpen Your Data Science Skills

Analytics Vidhya

Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.

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5 Free Data Science Projects With Solutions

Analytics Vidhya

Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Futurist Ray Kurzweil Claims Humans Will Achieve Immortality by 2030

Analytics Vidhya

“Immortality in Just 7 Years,” Predicts Ex-Google Engineer Ray Kurzweil, the man behind some of the most accurate predictions of our time, has made a jaw-dropping claim: “Humans will achieve immortality by 2030!” In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life.

Analytics 363
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Deep Learning for Image Segmentation with TensorFlow

Analytics Vidhya

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving. TensorFlow is an open-source framework used for building and training machine […] The post Deep Learning for Image Segmentation with TensorFlow appeared first on Analytics Vidhya.

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Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison

Analytics Vidhya

Introduction As artificial intelligence and machine learning continue to evolve at a rapid pace, we find ourselves in a world where chatbots are becoming increasingly commonplace. Google recently made headlines with the release of Bard, its language model for dialogue applications (LaMDA). It is said to be trained to have more natural and open-ended conversations […] The post Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison appeared first on Analytics Vidhya.

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Machine Learning Experiment Tracking Using MLflow

Analytics Vidhya

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Given the above challenges, […] The post Machine Learning Experiment Tracking Using MLflow appeared first on Analytics Vidhya.

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How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition. The guide outlines how to use embedded analytics to: Increase user satisfaction Go to market faster Create additional opportunities to monetize your product It also shares what to look for to ensure your embedded analytics are keeping up with the lates

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Pika 1.0: A New AI Model for Video Creation

Analytics Vidhya

In a world captivated by generative AI, Pika, a startup specializing in AI-powered video creation, has secured a staggering $55 million in a recent funding round led by Lightspeed Venture Partners. This influx of capital aligns with the launch of Pika 1.0, a groundbreaking suite of videography tools designed to transform the landscape of video […] The post Pika 1.0: A New AI Model for Video Creation appeared first on Analytics Vidhya.

Modeling 291
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Empowering Real-Time Insights with Website Monitoring Using Python

Analytics Vidhya

Introduction The purpose of this project is to develop a Python program that automates the process of monitoring and tracking changes across multiple websites. We aim to streamline the meticulous task of detecting and documenting modifications in web-based content by utilizing Python. This capability is invaluable for real-time news tracking, immediate product updates, and conducting […] The post Empowering Real-Time Insights with Website Monitoring Using Python appeared first on Analytics

Analytics 333
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Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction

Analytics Vidhya

Introduction OpenAI’s API, developed by OpenAI, provides access to some of the most advanced language models available today. By leveraging this API and using LangChain & LlamaIndex, developers can integrate the power of these models into their own applications, products, or services. With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.

Modeling 332
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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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EU Takes a Stand with AI Rules

Analytics Vidhya

In a revolutionary move, the European Union (EU) has successfully passed The Artificial Intelligence Act, a draft law that seeks to regulate the use of artificial intelligence (AI). This significant development marks a crucial step in establishing guidelines for AI governance and may serve as a global model for policymakers. Let’s delve into the details […] The post EU Takes a Stand with AI Rules appeared first on Analytics Vidhya.

Analytics 330
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FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC

Analytics Vidhya

Introducing FreedomGPT: The Unfiltered AI Powerhouse Freedom GPT is a groundbreaking open-source AI technology developed by Age of AI, an Austin-based AI venture capital firm. This state-of-the-art chatbot is programmed to recognize and prioritize ethical considerations without any censorship filter, unlike ChatGPT, which comes with censorship compliance and certain safety rules that prevent it from […] The post FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC a

Analytics 334
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Beginner’s Guide to Build Your Own Large Language Models from Scratch

Analytics Vidhya

Introduction Be it twitter or Linkedin, I encounter numerous posts about Large Language Models(LLMs) each day. Perhaps I wondered why there’s such an incredible amount of research and development dedicated to these intriguing models. From ChatGPT to BARD, Falcon, and countless others, their names swirl around, leaving me eager to uncover their true nature.

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NVIDIA Prioritizes Japan for Supply of AI Processors

Analytics Vidhya

In a crucial move reflecting the global race for dominance in artificial intelligence (AI) technology, NVIDIA CEO Jensen Huang has affirmed the company’s commitment to prioritizing Japan’s soaring demand for AI processors. This commitment aligns with Japan’s ambitious endeavors to revitalize its semiconductor infrastructure and make significant strides in AI technology development.

Analytics 273
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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting

Analytics Vidhya

Introduction Imagine loving a podcast and wishing to remember the best bits, but it’s all sound, no text. What do you do? That’s where cool tools like LLMs and Audio-to-Text translators step in. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points. So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya.

Analytics 288
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The Real Problem with Software Development

O'Reilly on Data

A few weeks ago, I saw a tweet that said “Writing code isn’t the problem. Controlling complexity is.” I wish I could remember who said that; I will be quoting it a lot in the future. That statement nicely summarizes what makes software development difficult. It’s not just memorizing the syntactic details of some programming language, or the many functions in some API, but understanding and managing the complexity of the problem you’re trying to solve.

Software 313
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Oracle’s Fusion Cloud CX, ERP, and SCM get generative AI features

CIO Business Intelligence

Just months after partnering with large language model-provider Cohere and unveiling its strategic plan for infusing generative AI features into its products, Oracle is making good on its promise at its annual CloudWorld conference this week in Las Vegas. Nearly all of Oracle’s Fusion Cloud suites — including Cloud Customer Experience (CX), Human Capital Management (HCM), Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) — are being updated with the company’s Oracle Cloud Infr

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry. Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations.

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10 most in-demand generative AI skills

CIO Business Intelligence

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams. Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more

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The 4 most overhyped technologies in IT

CIO Business Intelligence

Most CIOs and IT staffers remain, at heart, technologists, with many proclaiming their interest in shiny new tech toys. They may publicly preach “No technology for technology’s sake,” but they still frequently share their fascination with the latest tech gadgets. They’re not the only ones enthralled by tech. With technology and tech news now both pervasive and mainstream, many outside of IT — from veteran board members to college-age interns — are equally enthusiastic about bleeding-edge technol

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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Cloud isn’t that shiny new object in the distance, full of possibility. It’s come down to earth — sometimes with an unexpected thud onto the wrong side of a company’s balance sheet. “There are so many people who bought into cloud without thinking through the real reasons why they were doing this and what they wanted to accomplish,” says David Mitchell Smith, distinguished vice president and

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.