Tue.Dec 05, 2023

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Random Forest for Image Classification Using OpenCV

Machine Learning Mastery

The Random Forest algorithm forms part of a family of ensemble machine learning algorithms and is a popular variation of bagged decision trees. It also comes implemented in the OpenCV library. In this tutorial, you will learn how to apply OpenCV’s Random Forest algorithm for image classification, starting with a relatively easier banknote dataset and […] The post Random Forest for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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How to Get Job Ready in the World of Large Language Models?

Analytics Vidhya

Introduction Has contributing to the realm of artificial intelligence been your passion? Your dream entry into this field requires expertise and hands-on experience in natural language processing. Get job-ready with in-depth knowledge and application skills of different Large Language Models (LLMs). Mimicking human intelligence, GPT-4, Llama, Falcon, and many more LLMs are not just the […] The post How to Get Job Ready in the World of Large Language Models?

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Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

KDnuggets

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

Python 262
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Singapore to Triple its AI Workforce

Analytics Vidhya

Singapore has set its sights on the field of Artificial Intelligence. With the launch of National AI Strategy (NAIS) 2.0, the city-state plans to triple its AI workforce to 15,000 within the next 3-5 years. This ambitious initiative is poised to reshape not only Singapore’s technological landscape but also its societal fabric. Talent Through Apprenticeship […] The post Singapore to Triple its AI Workforce 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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TOP 10 insideBIGDATA Articles for November 2023

insideBIGDATA

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

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Starling-7B: LLM with Reinforcement Learning from AI Feedback

Analytics Vidhya

The research team at UC Berkeley introduces Starling-7B, an open-source large language model (LLM) that employs Reinforcement Learning from AI Feedback (RLAIF). Leveraging the power of the cutting-edge GPT-4 labeled ranking dataset, Nectar, and a sophisticated reward training and policy tuning pipeline, Starling-7B-alpha has set a new standard in language model performance, outshining all models […] The post Starling-7B: LLM with Reinforcement Learning from AI Feedback appeared first on An

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Top 5 Generative AI Libraries to Use in 2024

Analytics Vidhya

Introduction In the ever-evolving realm of technology, Artificial Intelligence (AI) has emerged as a transformative force. From its humble origins in basic algorithms to the sophistication of modern machine learning models, the AI journey has indeed been revolutionary. Now, a captivating chapter unfolds with the advent of Generative AI Libraries in Search.

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Announcing Databricks Middle East Expansion and Launch of Azure Qatar

databricks

We’re excited to announce the launch of Azure Qatar. With the expanded availability of Azure Databricks, it is now easier than ever for o.

Azure 215
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Autonomous AI Agents: Pioneering the Future of Data Science and Technology

Analytics Vidhya

Introduction In the dynamic landscape of technology, Autonomous AI Agents have emerged as transformative entities, reshaping how we interact with data and artificial intelligence. As we delve into this fascinating realm, it becomes evident that these agents are more than mere programs—they represent a paradigm shift in integrating AI into our daily lives.

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KX Counts In Time-Orientated Generative AI

Adrian Bridgwater for Forbes

Generative AI continues to develop and its alignment to time-series & time-specific data workloads makes logical sense in terms of its wider evolution and development.

AI 173
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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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IBM and META Forms AI Alliance for Responsible Innovation

Analytics Vidhya

In a significant stride towards responsible AI innovation, IBM and Meta have jointly launched the AI Alliance. It unites over 50 prominent organizations globally. This collaborative effort aims to foster open and transparent innovation in artificial intelligence (AI). The priority is on safety, diversity, and economic opportunity. The alliance includes renowned entities such as AMD, […] The post IBM and META Forms AI Alliance for Responsible Innovation appeared first on Analytics Vidhya.

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Elon Musk is looking to raise $1 billion for xAI

Flipboard

Elon Musk is looking to raise 1/44 of a Twitter for his AI company, xAI. In other words, the man behind Tesla, SpaceX and X is seeking $1 billion in funding for his next venture.

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Light Can Travel Backward in Time (Sort Of)

Hacker News

Light can be reflected not only in space but also in time—and researchers exploring such “time reflections” are finding a wealth of delightfully odd and useful effects

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AI Is Testing the Limits of Corporate Governance

Flipboard

Can AI safety shed any light on old corporate governance problems? And can the law and economics of corporate governance help us frame the new problems of AI safety? The author identifies five lessons — and one dire warning — on the corporate governance of AI and other socially sensitive technologies that have been made vivid by the corporate turmoil at OpenAI.

AI 181
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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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X is now licensed for payment processing in a dozen US states

Hacker News

Elon Musk is moving forward with his plans to turn the company formerly known as Twitter, now called X, into an “everything app” that includes its own payments system. The company in late November was granted three additional money transmitter licenses in the U.S. states of South Dakota (on Nov. 27), Kansas (on Nov. 28), […] © 2023 TechCrunch.

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Bordeaux Wine Snobs Have a Point, According to This Computer Model

Flipboard

With machine learning, scientists are trying to chemically define the murky concept of terroir. The models might be useful for detecting wine fraud. In the Bordeaux region of southwest France, scores of vineyard estates transform finicky grapes into bold blends of red wine.

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Formalizing the proof of PFR in Lean4 using Blueprint: a short tour

Hacker News

Since the release of my preprint with Tim, Ben, and Freddie proving the Polynomial Freiman-Ruzsa (PFR) conjecture over $latex {mathbb F}_2$, I (together with Yael Dillies and Bhavik Mehta) have st…

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Wine drinkers may soon get help sniffing out fraudulent products

Flipboard

Researchers have created an artificial intelligence tool that is capable of tracing wines back to their origins, using a chemical analysis that can warn consumers of potential fraudsters.

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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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Magicoder: Source Code Is All You Need

Hacker News

We introduce Magicoder, a series of fully open-source (code, weights, and data) Large Language Models (LLMs) for code that significantly closes the gap with top code models while having no more than 7B parameters. Magicoder models are trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets to generate high-quality instruction data for code.

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Replicate Raises $40 Million For Its Library Of Open Source AI Models

Flipboard

Amid the AI land grab, open source models whose code is available to anyone to modify and use are catching up to their proprietary counterparts. They’re getting bigger (Meta’s Llama 2 is trained on 70 billion parameters) and even getting better than ChatGPT at performing specific tasks.

AI 171
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Meta, IBM Create Industrywide AI Alliance to Share Technology

Hacker News

Meta Platforms Inc. and International Business Machines Corp. are joining more than 40 companies and organizations to create an industry group dedicated to open source artificial intelligence work, aiming to share technology and reduce risks.

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We could see Google's true ChatGPT competitor as soon as this week

Flipboard

We could get our first look at Gemini in action later this week. Google has been working on a new large language model (LLM) called Gemini that will eventually replace its current PaLM 2 AI architecture.

AI 169
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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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The Internet Enabled Mass Surveillance. AI Will Enable Mass Spying.

Hacker News

Spying and surveillance are different but related things. If I hired a private detective to spy on you, that detective could hide a bug in your home or car, tap your phone, and listen to what you said. At the end, I would get a report of all the conversations you had and the contents of those conversations. If I hired that same private detective to put you under surveillance, I would get a different report: where you went, whom you talked to, what you purchased, what you did.

AI 179
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Make no mistake—AI is owned by Big Tech

Flipboard

If we’re not careful, Microsoft, Amazon, and other large companies will leverage their position to set the policy agenda for AI, as they have in many …

AI 181
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US gov fires a warning shot at Nvidia

Hacker News

Nvidia's penchant for redesigning its GPUs to get around US export restrictions has seemingly been directly called out by the US Commerce Secretary, with a warning that when such redesigns are cr

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Brain Imaging Reveals Altered Brain Connectivity in Autism

Flipboard

Researchers advanced brain imaging and machine learning to uncover altered functional brain connectivity in individuals with Autism Spectrum Disorder …

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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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New calf brings new hope, and new concerns, for embattled Sumatran rhinos

Hacker News

The Sumatran rhino became a little safer from extinction over the Thanksgiving weekend. On Nov. 25, at around 4 a.m. local time, first-time mother Delilah gave birth to a healthy baby male Sumatran rhino (Dicerorhinus sumatrensis) at the Sumatran Rhino Sanctuary (SRS) in Way Kambas National Park on the Indonesian island of Sumatra.

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A ‘thirsty’ generative AI boom poses a growing problem for Big Tech

Flipboard

A global rush for the next wave of generative artificial intelligence is increasing public scrutiny on Big Tech's expanding water footprint.

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Addressing post-quantum cryptography with CodeQL

Hacker News

Learn how researchers and security experts at GitHub, Microsoft, and Santander came together to address the challenges presented by the post-quantum cryptography world.

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ChatGPT gives longer responses if you 'tip it $200,' according to one user

Flipboard

Even bots are tip-shaming. Jeez, tipping has gotten so out of control, even ChatGPT expects a little something extra these days. According to programmer Theia Vogel, who goes by @voooooogel on X (formerly Twitter), ChatGPT gives longer responses if you offer to tip it.

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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.