Mon.Jul 17, 2023

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Creating a Chatbot with FalconAI, LangChain, and Chainlit

Analytics Vidhya

Introduction Generative AI, especially the Generative Large Language Models, have taken over the world since their birth. This was only possible because they could integrate with different applications, from generating working programmable codes to creating fully GenerativeAI-managed Chat Support Systems. But most of the Large Language Models in the Generative AI space have been closed […] The post Creating a Chatbot with FalconAI, LangChain, and Chainlit appeared first on Analytics Vidhya

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6 AI tools revolutionizing data analysis: Unleashing the best in business

Data Science Dojo

Business data is becoming increasingly complex. The amount of data that businesses collect is growing exponentially, and the types of data that businesses collect are becoming more diverse. This growing complexity of business data is making it more difficult for businesses to make informed decisions. To address this challenge, businesses need to use advanced data analysis methods.

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Barry Diller Vs. Generative AI: Copyright Legal Battle

Analytics Vidhya

Media mogul Barry Diller and a group of prominent publishers are gearing up for a legal battle against the use of published works in training artificial intelligence (AI) systems. The rise of generative AI has raised concerns about the fair use of copyrighted content, and Diller is determined to protect the rights of publishers. In […] The post Barry Diller Vs.

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Brief History of LLMs

insideBIGDATA

The early days of natural language processing saw researchers experiment with many different approaches, including conceptual ontologies and rule-based systems. While some of these methods proved narrowly useful, none yielded robust results. That changed in the 2010s when NLP research intersected with the then-bustling field of neural networks. The collision laid the ground for the first large language models.

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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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6 Steps to Protect Your Privacy While Using Generative AI Tools

Analytics Vidhya

Introduction The emergence of generative AI tools has sparked both excitement and concern. These tools can potentially revolutionize our lives and work but raise important questions about AI privacy and security. In this article, we will explore how you can navigate the world of generative AI while protecting your personal information. You can confidently embrace […] The post 6 Steps to Protect Your Privacy While Using Generative AI Tools appeared first on Analytics Vidhya.

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Automating the Chain of Thought: How AI Can Prompt Itself to Reason

KDnuggets

Auto-CoT prompting method has LLMs automatically generate their own demonstrations to prompt complex reasoning, using diversity-based sampling and zero-shot generation, reducing human effort in creating prompts. Experiments show it matches performance of manual prompting across reasoning tasks.

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More Trending

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Neural Networks and Deep Learning: A Textbook (2nd Edition)

KDnuggets

The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning. The second edition is significantly expanded and covers many modern topics such as graph neural networks, adversarial learning, attention mechanisms, transformers, and large language models.

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When Good Data Analytics Is Bad (And How To Stop It)

Adrian Bridgwater for Forbes

Although we might argue that every form of data analytics is basically good, the way we use the insights from AI information analytics actions can be both good & bad.

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H1 2023 Analytics & Data Science Spend & Trends Report

KDnuggets

The All Things Insights and marketing analytics and data science community completed an extensive survey covering what executives are thinking, how they’re spending and the issues and opportunities they face. Grab your free copy now.

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WormGPT: The “unethical” ChatGPT is out

Dataconomy

A hacker has made his own maliciously inclined version of ChatGPT: Introducing WormGPT, a chatbot created to help online criminals. Email security service SlashNext, which used the chatbot, claims that the creator of WormGPT is offering access to the software for sale in a well-known hacker forum. The business stated in a blog post that “we see that malicious actors are now creating their own custom modules similar to ChatGPT, but easier to use for nefarious purposes.” The chatbot se

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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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Simplified Analytics Engineering with Databricks and dbt Labs

databricks

For over a year now, Databricks and dbt Labs have been working together to realize the vision of simplified real-time analytics engineering, combining.

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How social media made Barbenheimer a big marketing success?

Dataconomy

Do you hear the term “Barbenheimer” a lot these days? There are times in the ever-changing film business that completely transform the processes of film production, distribution, and reception. July 21, 2023, marked one such milestone, with the emergence of an Internet phenomenon known as “Barbenheimer.” This viral sensation revolved around two films with seemingly opposite genres and themes – “Barbie” and “Oppenheimer” – both set to hi

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Advancements in Artificial Intelligence: Chat Data Fuels New AI Models

Data Science Connect

The field of artificial intelligence (AI) continues to push the boundaries of what machines can achieve. Recent developments in AI models are leveraging vast amounts of chat data to enhance natural language processing and improve conversational abilities. A recent article by The New York Times explores these advancements, highlighting the potential impact on various industries and the challenges that lie ahead.

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The ultimate Midjourney video generation guide

Dataconomy

Midjourney now offers the ability to manifest the evolution of your AI-generated images into a concise Midjourney video. This captivating feature visually narrates the journey from the inception of your image request to the culmination of your unique AI-crafted visuals. To set this feature in motion, simply append the –video parameter to your input prompt.

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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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ChatGPT Dethroned: How Claude Became the New AI Leader

KDnuggets

Putting the world to shame.

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Top 10 IoT software development companies in the USA (2023)

Dataconomy

In today’s interconnected world, the Internet of Things (IoT) has become an awe-inspiring reality rather than a futuristic concept. With billions of devices connected globally, businesses in all industries embrace IoT technologies to drive innovation, enhance operational efficiency, and provide exceptional experiences to their target audiences.

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LLMs in the lakehouse: a quantum leap forward for the public sector

databricks

Over the past few months, interest in Large Language Models (LLMs) from Public Sector agencies has skyrocketed as LLMs are fundamentally changing the.

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Remini AI headshot generator is not your only option

Dataconomy

The Remini AI headshot generator has become pretty famous thanks to some of the popular social media platforms. Today, we will explain the basics of it while showing you how to use it, and if you are looking for similar but different tools, we will also be giving you some of the Remini AI alternatives! Remini is a picture and video enhancer that turns your poor-quality photographs into breathtaking HD ones using cutting-edge AI technology.

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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 access is severely lacking in most companies, and 71% believe synthetic data can help

KDnuggets

MOSTLY AI has conducted the first-ever synthetic data survey in the data science AI/ML community. Check out the results here.

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The Drivers Cooperative: New York’s driver-owned ride-hailing app

Hacker News

The Drivers Cooperative has a new app and a promising new financial forecast. Here’s how the city’s largest co-op is putting its network of independent drivers first.

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The A-Z of AI: 30 terms you need to understand AI

Flipboard

Imagine going back in time to the 1970s, and trying to explain to somebody what it means "to google", what a "URL" is, or why it's good to have "fibre-optic broadband". You'd probably struggle.

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Harry Frankfurt has died

Hacker News

He spent his career exploring will and deceit. Then came a sudden success: a bluntly titled book that found that one strain of dishonesty with a barnyard name was worse than lying.

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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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This AI Chatbot Has Helped Doctors Treat 3 Million People–And May Be Coming To A Hospital Near You

Flipboard

With millions of patients under its belt, digital health startup K Health is looking to scale its artificial intelligence technology in hospitals, starting with new strategic investor Cedars-Sinai.

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Astronomers observe subpulse drifting and nulling of pulsar PSR J0026–1955

Hacker News

Using the upgraded Giant Meterwave Radio Telescope (uGMRT), astronomers from India and Australia have performed radio observations of a pulsar known as PSR J0026–1955. Results of the observational campaign, published July 5 on the preprint server arXiv, shed more light on the subpulse drifting and nulling behavior of this pulsar.

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How AI could revolutionize full-body scans and cancer detection

Flipboard

As we've seen in the world of health tech, artificial intelligence (AI) is not just making waves – it's making tsunamis. The latest splash? Full-body AI scans are becoming the vanguard of preventive medicine. According to some experts, these scans are set to revolutionize how we approach our health.

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AI: Startup vs Incumbent Value

Hacker News

In each technology wave the value, revenue, market cap, profits and great people captured by startups versus incumbents differs. In some waves it all goes to startups, while in others it goes to incumbents or is split between them.

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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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Wix’s new tool can create entire websites from prompts

Flipboard

What does one expect from a website builder in 2023? That’s the question many startups — and incumbents — are trying to answer as the landscape changes, driven by trends in generative AI. Do no-code drag-and-drop interfaces still make sense in an era of prompts and media-generating models?

AI 123
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fMRI-to-image with contrastive learning and diffusion priors

Hacker News

a cutting-edge method for reconstructing and retrieving images from fMRI brain activity. Discover how fMRI enables detailed analysis of brain functions and aids in evaluating brain treatments. MindEye's training on the Natural Scenes Dataset brings new insights to neuroscience research. Explore the potential of this state-of-the-art approach today.

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Events that never happened could influence the 2024 presidential election – a cybersecurity researcher explains situation deepfakes

Flipboard

AI can manipulate a real event or invent one from thin air to create a ‘situation deepfake.’ These deepfakes threaten to influence upcoming elections, but you can still protect your vote.

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A surprisingly simple way to foil car thieves

Hacker News

Skyrocketing vehicle theft rates in some U.S. cities have drawn attention to an inconvenient truth: the increasing amount of technology in our vehicles can make them increasingly vulnerable to hacking or theft.

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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.