Thu.Sep 21, 2023

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insideBIGDATA Latest News – 9/21/2023

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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A Survey of Large Language Models (LLMs)

Analytics Vidhya

Introduction The landscape of technological advancement has been dramatically reshaped by the emergence of Large Language Models (LLMs), an innovative branch of artificial intelligence. These models, driven by sophisticated machine learning algorithms and substantial computing power, represent a leap forward in our ability to understand, generate, and manipulate human language.

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insideBIGDATA Latest News – 9/22/2023

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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DreamBooth: Stable Diffusion for Custom Images

Analytics Vidhya

Introduction Welcome to the world of Stable Diffusion techniques for creating custom images, where creativity knows no bounds. In the realm of AI-powered image generation, DreamBooth emerges as a game-changer, granting individuals the remarkable ability to craft bespoke visuals tailored to their unique ideas. Stable Diffusion breathes life into the creative process, elevating ordinary images […] The post DreamBooth: Stable Diffusion for Custom Images 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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Apache Spark 3 Apache DataSketches: New Sketch-Based Approximate Distinct Counting

databricks

Introduction In this blog post, we'll explore a set of advanced SQL functions available within Apache Spark that leverage the HyperLogLog algorithm, enabling.

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Cutting Edge Tricks of Applying Large Language Models

Analytics Vidhya

Introduction Large language models (LLMs) are prominent innovation pillars in the ever-evolving landscape of artificial intelligence. These models, like GPT-3, have showcased impressive natural language processing and content generation capabilities. Yet, harnessing their full potential requires understanding their intricate workings and employing effective techniques, like fine-tuning, for optimizing their performance.

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Vision Transformers in Agriculture | Harvesting Innovation

Analytics Vidhya

Introduction Agriculture has always been a cornerstone of human civilization, providing sustenance and livelihoods for billions worldwide. As technology advances, we find new and innovative ways to enhance agricultural practices. One such advancement is using Vision Transformers (ViTs) to classify leaf diseases in crops. In this blog, we’ll explore how vision transformers in agriculture revolutionize […] The post Vision Transformers in Agriculture | Harvesting Innovation appeared fir

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How Generative AI is disrupting data practices

KDnuggets

Sponsored Content By Bill Hammond, Event Director, Big Data London Generative AI has created a shift in how we interact with and utilise data, with Read more »

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Training Your Own LLM Without Coding

Analytics Vidhya

Introduction Generative AI, a captivating field that promises to revolutionize the way we interact with technology and generate content, has taken the world by storm. In this article, we’ll explore the fascinating realm of Large Language Models (LLMs), their building blocks, the challenges posed by closed-source LLMs, and the emergence of open-source models.

Analytics 280
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T-Mobile’s privacy nightmare continues

Dataconomy

Customers of T-Mobile reported a startling issue with the company’s official mobile app – an issue that has sent shockwaves through social media and tech communities alike. Upon logging into the app, users found themselves privy to a treasure trove of other customers’ personal information. This included names, phone numbers, addresses, account balances, and even credit card details, including expiration dates and the last four digits.

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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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Google’s PaLM 2: Revolutionizing Language Models

Analytics Vidhya

Introduction In the rapidly evolving landscape of artificial intelligence, tech companies are in a fierce race to develop highly efficient AI models that can contribute meaningfully to the world. Google, a key player in this race, consistently invests in extensive research to push the boundaries of what AI can achieve. The fruits of their labor […] The post Google’s PaLM 2: Revolutionizing Language Models appeared first on Analytics Vidhya.

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Solution Accelerator: LLMs for Manufacturing

databricks

Since the publication of the seminal paper on transformers by Vaswani et. al. from Google, large language models (LLMs) have come to dominate.

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Machine Learning Evaluation Metrics: Theory and Overview

KDnuggets

High-level exploration of evaluation metrics in machine learning and their importance.

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Alexa AI at its pinnacle: A closer look at the Alexa LLM revolution

Dataconomy

Amazon recently unveiled the future: Alexa AI, powered by Alexa LLM. This remarkable upgrade signals a new era of human-like conversation with technology, offering users a smarter, more conversational, and realistic experience. As the generative AI boom sweeps through Silicon Valley, Amazon is poised to leapfrog the competition with its enhanced Alexa LLM.

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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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Your Features Are Important? It Doesn’t Mean They Are Good

KDnuggets

“Feature Importance” is not enough. You also need to look at “Error Contribution” if you want to know which features are beneficial for your model.

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Kulhad pizza viral video turned out to be “AI-generated”

Dataconomy

The recent Kulhad pizza viral video has surfaced online, and the owner said it is “AI-generated” and not genuine. This is one of the most clear examples of the dangers of artificial intelligence. The owner of Kulhad Pizza, a beloved Indian eatery based in Jalandhar, Punjab, found himself at the center of a peculiar and disturbing controversy.

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Traditional AI vs Generative AI

KDnuggets

Helping beginners understand the difference between traditional AI and generative AI.

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Suppressing negative thoughts may be good for mental health after all

Hacker News

Researchers at the Medical Research Council (MRC) Cognition and Brain Sciences Unit trained 120 volunteers worldwide to suppress thoughts about negative events that worried them, and found that not

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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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Generative AI Is Breathing New Life Into Classic Computer Games

Flipboard

Generative AI has the potential to revolutionize every creative industry, and the gaming industry is no exception. Game worlds are getting richer, more immersive, and in many ways closer to being simulations of our own "real" world.

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Cisco pulled out of SentinelOne acquisition after due diligence

Hacker News

The global IT giant was on the verge of acquiring the cybersecurity firm when it discovered inaccuracies in its ARR, which SentinelOne ultimately announced when it published its first quarter results in early June

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AI startup Gizmo raises $3.5M by using gamified quizzes and flashcards to make learning fun

Flipboard

Gizmo, a generative AI learning startup that uses gamified quizzes to engage learners, today announced $3.5 million in seed funding from NFX, Ada Ventures, and Capital T. The company will use the funding to scale its platform globally, hire more engineers and roll out new features.

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Wine's True Origins Are Finally Revealed

Hacker News

Scientific American is the essential guide to the most awe-inspiring advances in science and technology, explaining how they change our understanding of the world and shape our lives.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Adding AI to Web3 will spark a Cambrian explosion of innovation — but not anytime soon

Flipboard

Blockchain and AI's synergistic combination will create technology beyond today’s wildest imagination. But true AI-Web3 integration remains a difficult affair.

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STAT+: They carry a gene for ALS but aren’t sick. What does medical research owe them?

Hacker News

Nine months after her mom died of ALS, Jean Swidler walked into a doctor’s office at Columbia University and asked to learn her own fate. A genetic counselor swabbed her cheek or took a blood sample — Swidler can’t remember which — and called the next month. Gently, the counselor told her she had the same mutation as her mom.

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AI Companies Desperately Hiring Authors and Poets to Fix Their Crappy Writing

Flipboard

Dead Poets Society It's an open secret that generative AI is terrible at coming up with original and creative writing.

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Lead poisoning causes more death, IQ loss than thought: study

Hacker News

Lead poisoning has a far greater impact on global health than previously thought, potentially contributing to over five million deaths a year and posing a similar threat to air pollution, modeling research suggested Tuesday.

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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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The Download: what’s next for supercomputers, and electrifying everything

Flipboard

Plus: ChatGPT is moving into image making This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on …

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Harness launches Gitness, an open-source GitHub competitor

Hacker News

Since its launch in 2017, Harness, the software delivery platform founded by AppDynamics founder and CEO Jyoti Bansal, expanded from being continuous code deployment to covering continuous integration, feature flags, cloud cost management, security testing orchestration, chaos engineering and more. But even though it focused heavily on GitOps, it never offered its own Git repositories.

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The STEM gap: What you need to know about women in science, technology, engineering and mathematics

Dataconomy

In Australia’s rapidly evolving, increasingly digital economy, the demand for candidates with skills in science, technology, engineering, and mathematics has become more crucial than ever. However, with only 30% of Australia’s roughly 600,000 university STEM-qualified employees being women, it’s important to understand that there are a range of existing imbalances and inequities present within the STEM workforce.

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Luiz André Barroso has died

Hacker News

Brazilian engineer Luiz André Barroso, who ripped up the rulebook at Google, has died. His radical ideas for data centers laid the foundations for cloud computing.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.