Sat.May 13, 2023 - Fri.May 19, 2023

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5 newer data science tools you should be using with Python

Flipboard

Python's rich ecosystem of data science tools is a big draw for users.

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Close the Data Gap

insideBIGDATA

In this contributed article, Sangeeta Krishnan highlights how a data gap refers to missing data about a particular area of interest. Data gaps are a problem for organizations of all sizes. They can be costly, frustrating and time consuming to fix. But with the right strategies and tools, you can identify where the problems lie and implement effective changes.

Big Data 530
professionals

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What are Large Language Models

Machine Learning Mastery

Last Updated on May 19, 2023 Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a […] The post What are Large Language Models appeared first on MachineLearningMastery.com.

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OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level

Analytics Vidhya

In recent news, OpenAI has been working on a groundbreaking tool to interpret an AI model’s behavior at every neuron level. Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes. Even data scientists have trouble explaining why a model responds in a particular manner, leading to inventing facts out of nowhere. […] The post OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level appeared first on Analytics Vidhya.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Breaking Down AutoGPT

KDnuggets

AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

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Heard on the Street – 5/15/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 459

More Trending

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One-Stop Framework Building Applications with LLMs

Analytics Vidhya

Introduction Large Language Models (LLMs) have been gaining popularity for the past few years. And with the entry of Open AIs ChatGPT, there was a massive popularity gain in the Industry towards these LLMs. These Large Language Models are being worked upon to create different applications from Question Answering Chatbots to Text Generators to Conversational […] The post One-Stop Framework Building Applications with LLMs appeared first on Analytics Vidhya.

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Community Spotlight: Brett Mullins

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Brett Mullins, a winner of the Differential Privacy Temporal Map Challenge and a graduate student at the University of Massachusetts at Amherst. Name: Brett Mullins ¶ Hometown: Atlanta, Georgia ¶ Tell us a little about yourself.

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FeatureByte Releases FeatureByte SDK in Open Source

insideBIGDATA

FeatureByte, an AI startup formed by a team of data science experts, announced the release of its open-source FeatureByte SDK. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.

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Latency goes subsecond in Apache Spark Structured Streaming

databricks

Apache Spark Structured Streaming is the leading open source stream processing platform. It is also the core technology that powers streaming on the.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Top 5 AI Tools for Google Sheets

Analytics Vidhya

Introduction Spreadsheets are a fundamental tool used in businesses worldwide. They help with organizing data, tracking financials, and much more. However, handling large amounts of data can be time-consuming and error-prone. Fortunately, artificial intelligence (AI) has revolutionized how we use spreadsheets. There are now many AI tools available that can automate manual tasks and streamline […] The post Top 5 AI Tools for Google Sheets appeared first on Analytics Vidhya.

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Super Bard: The AI That Can Do It All and Better

KDnuggets

A new AI Bard powered by PaLM V2 that can write, translate, and code better than ChatGPT.

AI 295
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Cognizant Launches Cognizant Neuro®? AI Platform to Help Companies Responsibly Deploy Generative AI at Enterprise Scale

insideBIGDATA

Cognizant (NASDAQ: CTSH) announced a new, enterprise-wide platform, Cognizant Neuro®️ AI, designed to provide enterprises with a comprehensive approach to accelerate the adoption of generative AI technology and harness its business value in a flexible, secure, scalable and responsible way.

AI 397
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Anti-Piracy Program Accused of Violating Citizens’ Fundamental Rights

Hacker News

When the French government formed a new anti-piracy agency called Hadopi, the mission was to significantly disrupt BitTorrent and similar peer-to-peer file-sharing networks. Hadopi was a pioneer of the so-called “graduated response” scheme which consists of monitoring a file-sharer’s internet activities and following up with a warning notice to deter their behavior.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Data Mining vs Machine Learning: Choosing the Right Approach

Analytics Vidhya

Data mining and machine learning are two closely related yet distinct fields in data analysis. With both techniques extracting valuable insights, it becomes crucial to understand their characteristics, applications, and methodologies. What is data mining vs machine learning? How do they differ in terms of goals and approaches? This article aims to shed light on […] The post Data Mining vs Machine Learning: Choosing the Right Approach appeared first on Analytics Vidhya.

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Principal Component Analysis (PCA) with Scikit-Learn

KDnuggets

Learn how to perform principal component analysis (PCA) in Python using the scikit-learn library.

Python 280
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insideBIGDATA Latest News – 5/18/2023

insideBIGDATA

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

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Just Calm Down About GPT-4 Already

Flipboard

Rapid and pivotal advances in technology have a way of unsettling people, because they can reverberate mercilessly, sometimes, through business, employment, and cultural spheres. And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It’s a textbook example of the mixture of amazement and, especially, anxiety that often accompanies a tech triumph.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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How to Evaluate a Large Language Model (LLM)?

Analytics Vidhya

Introduction With the release of Chatgpt and other Large Language Models (LLMs), there has been a significant increase in the number of models available. New LLMs are being released every other day. Despite this, there is still no fixed or standardized way to evaluate the quality of these Large Language models. This article will review […] The post How to Evaluate a Large Language Model (LLM)?

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Bayesian vs Frequentist Statistics in Data Science

KDnuggets

Is your statistical alignment Bayesian or a Frequentist?

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From Data Mess to Data Mesh 

insideBIGDATA

In this contributed article, David Castro-Gavino, Global Vice President of Data at HelloFresh, highlights how the data mesh movement has been underway in recent years with the goal of reducing interdependencies and enabling self-service business intelligence. However, moving to a distributed data ownership takes organization, planning and buy-in from the right stakeholders, and we cannot underestimate the cultural change needed to accomplish this.

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What Higher Ed Gets Wrong About AI Chatbots — From the Student Perspective

Flipboard

As a doctoral student at the University of California at Los Angeles, I was among those who got a recent campus-wide email with an urgent directive: Don’t use AI chatbots like ChatGPT or Bard or Bing, as doing so “is equivalent to receiving assistance from another person.” Upon reading it, I took a pause. I’m a former educator in the process of writing my dissertation for my Doctorate of Education, as part of a part-time program while working a full-time job at Google.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Microsoft Invests in No-Code App Builder Builder.ai

Analytics Vidhya

Microsoft has announced its investment in Builder.ai, a London-based no-code app builder that uses artificial intelligence (AI) to break down software development into reusable Lego-like features. The tech giant has not disclosed the amount of its equity investment. Still, the collaboration will accelerate the go-to-market growth of Builder.ai’s platform through product connections across the Microsoft […] The post Microsoft Invests in No-Code App Builder Builder.ai appeared first on

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5 ChatGPT Features to Boost your Daily Work

KDnuggets

And how to enhance your code quality using it.

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WEKA Rolls Out New Features and Enhancements in 4.2 Software Release

insideBIGDATA

WekaIO, the data platform provider for performance-intensive workloads, unveiled version 4.2 of the WEKA® Data Platform. The new release brings a variety of enhanced features and new capabilities to the company designed to increase the affordability and performance of next-generation technologies for WEKA’s customers. These include advanced data reduction and a new container storage interface (CSI) plug-in for stateful containerized workloads that can help customers dramatically lower their stor

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Vint Cerf’s Career Advice for Engineers

Hacker News

Vint Cerf, recipient of the 2023 IEEE Medal of Honor , has this advice to engineers starting out their careers: “If you really want to do something big, get help, and preferably from people who are smarter than you are.” “Be humble, because unless you approach things with the understanding that you really don’t know exactly how to make it all work, you may overlook possibilities.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Are Plugins and Web Browsing in ChatGPT of Any Use?

Analytics Vidhya

Introduction OpenAI’s recent announcement about the massive update for ChatGPT Plus users has garnered a lot of attention. The new update includes access to web browsing and over 70 beta plugins. These plugins offer a range of features, from text-to-audio conversions to real-time data on stocks and crypto. As an AI chatbot, ChatGPT is designed […] The post Are Plugins and Web Browsing in ChatGPT of Any Use?

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OpenAI is offering a free class in prompt engineering for devs

Flipboard

Whether or not AI lives up to the hype surrounding it will largely depend on good prompt engineering. Prompt engineering is the key to unlocking useful — and usable — outputs from generative AI, such as ChatGPT or its image-making counterpart DALL-E.

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Larger language models do in-context learning differently

Google Research AI blog

Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research There have recently been tremendous advances in language models, partly because they can perform tasks with strong performance via in-context learning (ICL), a process whereby models are prompted with a few examples of input-label pairs before performing the task on an unseen evaluation example.

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U.S. Universities Are Building a New Semiconductor Workforce

Hacker News

The CHIPS and Science Act , aimed at kick-starting chip manufacturing in the United States, only began taking requests for pieces of its US $50 billion in March, but chipmakers were already gearing up beforehand. Memory and storage chipmaker Micron announced as much as $100 billion for a new plant in upstate New York. Taiwan Semiconductor Manufacturing C o.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.