Nature, Not Humans, Should Be the Model for AI, Says Artist Collective
SEPTEMBER 17, 2023
Challenging conventional AI ethics, Theta Noir believes AI should mimic nature's sustainability rather than human excess. Artificial intelligence is …
nature collections 
Top 10 Large Language Models on Hugging Face
Analytics Vidhya
DECEMBER 12, 2023
Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.
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Generative AI Deep Dive: Advancing from Proof of Concept to Production
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Leading the Development of Profitable and Sustainable Products
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The Complete Collection of Data Science Cheat Sheets – Part 2
KDnuggets
FEBRUARY 21, 2022
A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.
Webinars
How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT
Analytics Vidhya
JULY 27, 2023
Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there.
A global approach for natural history museum collections
Hacker News
MARCH 25, 2023
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The Complete Collection Of Data Repositories – Part 2
KDnuggets
APRIL 11, 2022
Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.
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Rhapsodies in Blue: Anna Atkins' Cyanotypes
Hacker News
DECEMBER 8, 2023
In an era when the Enlightenment’s orderly vision of the natural world began to unravel, Anna Atkins produced the world’s first photography book: a collection of cyanotypes, created across a decade beginning in 1843, that captured algal forms in startling blue-and-white silhouettes.
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Top 10 Research Papers on GenAI
Analytics Vidhya
DECEMBER 13, 2023
Introduction In the ever-evolving landscape of natural language understanding, researchers continue to push the boundaries of what’s possible through innovative approaches. In this article, we will delve into a collection of groundbreaking research papers on generative AI (GenAI).
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Text Data Augmentation in Natural Language Processing with Texattack
Analytics Vidhya
FEBRUARY 26, 2022
Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The post Text Data Augmentation in Natural Language Processing with Texattack appeared first on Analytics Vidhya.
10 Free Top Notch Natural Language Processing Courses
KDnuggets
OCTOBER 7, 2019
Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.
Google’s Social Learning: LLMs unite for collective knowledge
Dataconomy
MARCH 11, 2024
This new framework permits AI models to engage in natural language exchanges, sharing insights and enhancing their collective ability on diverse tasks without breaching privacy. ” -Google How does Google’s Social Learning work?
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Thinking about high-quality human data
Hacker News
FEBRUARY 9, 2024
the 100+ year old Nature paper “Vox populi”) and nice feedback. ? Lots of ML techniques in the post can help with data quality, but fundamentally human data collection involves attention to details and careful execution. [Special thank you to Ian Kivlichan for many useful pointers (E.g.
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Explorer: Exploration-Guided Reasoning for Textual Reinforcement Learning
Hacker News
MARCH 24, 2024
Text-based games (TBGs) have emerged as an important collection of NLP tasks, requiring reinforcement learning (RL) agents to combine natural language understanding with reasoning. EXPLORER is neurosymbolic in nature, as it relies on a neural module for exploration and a symbolic module for exploitation.
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12 must-have AI tools to revolutionize your daily routine with these
Data Science Dojo
FEBRUARY 18, 2023
This blog outlines a collection of 12 AI tools that can assist with day-to-day activities and make tasks more efficient and streamlined. The development of Artificial Intelligence has gone through several phases over the years. It all started in the 1950s and 1960s with rule-based systems and symbolic reasoning.
Field Boundaries Detection and Land Cover Classification And How EOSDA Does It
Data Science Dojo
MARCH 2, 2024
Satellites equipped with these sensors orbit the Earth, collecting valuable data on different land cover types ranging from dense forests and sprawling urban landscapes to vast oceans and arid deserts. Firstly, they eliminate the need for manual feature extraction, a traditionally laborious step in image classification.
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How to collect voice data for machine learning
Becoming Human
MAY 8, 2024
In this article, we’ll talk about the steps of voice data collection for machine learning. Understanding the Challenges of Voice Data Collection Collecting speech data for machine learning faces three key challenges. This diversity requires collecting a broad spectrum of data, posing a logistical and technical challenge.
AI bots are now outperforming humans in solving CAPTCHAs
Hacker News
DECEMBER 16, 2023
We obtain this data through manual inspection of popular websites and user studies in which 1,400 participants collectively solved 14,000 CAPTCHAs. In this work, we explore CAPTCHAs in the wild by evaluating users' solving performance and perceptions of unmodified currently-deployed CAPTCHAs.
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eDiscovery: Unlocking the Power of AI in Document Review
Data Science Dojo
JANUARY 21, 2024
It is the process of identifying, collecting, and producing electronically stored information (ESI) in response to a request for production in a lawsuit or investigation. The Role of AI in eDiscovery AI is a broad term that encompasses various technologies, including machine learning, natural language processing, and cognitive computing.
Sentiment analysis in 2023: Empowering marketing with large language models (LLMs)
Data Science Dojo
SEPTEMBER 12, 2023
This can be done using a variety of methods, such as lexicon-based analysis, machine learning, or natural language processing. Analyze the Results Once your tool is trained, it’s time to analyze the sentiment of the data you’ve collected. There are various options available, each with its own set of features.
The Craft of Experimental Physics (2015)
Hacker News
SEPTEMBER 1, 2023
In the basement of the Argosy Book Store, I found a collection of essays from 1933. The one that prompted the purchase of the book was entitled: The Craft of Experimental Physics, by P.M.S. Though written more than 80 years ago, the salient points are just as relevant today. Here are some selected passages. (A
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GPT-4: A potential stepping stone on the path to artificial general intelligence AGI
Data Science Dojo
APRIL 5, 2024
AGI systems can perform a wide range of tasks across different domains, including reasoning, planning, learning from experience, and understanding natural language. This is achieved through techniques such as leveraging vector graphics, 3D scenes, and music data in conjunction with natural language prompts.
Data Science Dojo - Untitled Article
Data Science Dojo
MARCH 6, 2024
AI systems can identify areas susceptible to natural disasters and facilitate early responses to mitigate risks 1. AI also affects employment and the nature of work across industries. Training and operating AI systems can result in significant CO2 emissions due to the energy-intensive nature of the supporting server farms.
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LLM in a Flash: Efficient Large Language Model Inference with Limited Memory
Hacker News
DECEMBER 21, 2023
Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their intensive computational and memory requirements present challenges, especially for devices with limited DRAM capacity.
Using proxy servers for SEO tools: Enhancing your digital strategy
Dataconomy
APRIL 24, 2024
SEO tools such as keyword scrapers, rank trackers, and link-building programs rely on proxy servers to simulate natural browsing behavior, prevent IP bans, and access geo-restricted content. Keyword research and analysis Use rotating proxies to gather data from search engines and analyze keyword trends, search volume, and competition levels.
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DNA face to facial recognition in attempt to find suspect
FlowingData
JANUARY 23, 2024
Found in a trove of hacked police records published by the transparency collective Distributed Denial of Secrets, it appears to be the first known instance of a police department attempting to use facial recognition on a face algorithmically generated from crime-scene DNA.
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Synthetic data in machine learning: 7 reasons why you need it
Data Science Dojo
OCTOBER 9, 2023
However, collecting and labeling real-world data can be costly, time-consuming, and inaccurate. Privacy: No need to collect personal information. This, in turn, leads to improved model performance, shorter development cycles, and reduced data collection costs. To train machine learning models, you need data.
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Advancements in Artificial Intelligence: Chat Data Fuels New AI Models
Data Science Connect
JULY 17, 2023
Recent developments in AI models are leveraging vast amounts of chat data to enhance natural language processing and improve conversational abilities. By training AI models on vast amounts of chat data, developers can improve language understanding and generate more natural responses.
Monitoring of Jobskills with Data Engineering & AI
Data Science Blog
JUNE 30, 2023
The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). The presentation is currently limited to the current situation on the labor market.
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5 Current Trends in Big Data for 2022 and Beyond
Smart Data Collective
DECEMBER 1, 2022
With the growth of technology, the amount of data collected each day has increased exponentially, with no signs of slowing down anytime soon. It is based on the idea that real-time data can be analyzed as it comes in rather than waiting until all the data has been collected. The Growth of Natural Language Processing.
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AI development booms as open source startups fill the gap
Dataconomy
MARCH 26, 2024
These efforts showcase the diverse, evolving nature of AI and open-source ventures. The hottest 10 COSS startups of 2023 Data’s critical role in artificial intelligence is underscored by AI’s dependence on vast datasets for learning and prediction, necessitating robust infrastructure for data collection, storage, and analysis.
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Mapping the sea floor
FlowingData
JANUARY 2, 2023
Jon Keegan on how USGS researchers collected data for 125 square miles of sea floor : In 2004 and 2005, two research vessels, Ocean Explorer and Connecticut set off into the waters off Cape Ann, Massachusetts on a U.S. Tags: Jon Keegan , nature , ocean , USGS. Geological Survey mission to map a section of the bottom of the sea.
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Harnessing the Power of Geospatial Analysis with ChatGPT
Data Science Connect
JULY 22, 2023
This cutting-edge collaboration brings geospatial analysis to a broader audience, empowering data scientists to harness AI-powered natural language processing (NLP) to interact with and analyze geographic data more efficiently. ChatGPT, powered by GPT-3, is a state-of-the-art NLP model capable of processing and generating human-like text.
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More friendships between rich and poor might mean less poverty
FlowingData
AUGUST 3, 2022
Recently published in Nature , research by Chetty, R., NYT’s The Upshot explains the relationships with a collection of maps and charts. NYT’s The Upshot explains the relationships with a collection of maps and charts. Jackson, M.O., Kuchler, T. The researchers used Facebook connection data from 70.3?million
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The Internet Enabled Mass Surveillance. AI Will Enable Mass Spying.
Hacker News
DECEMBER 5, 2023
Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. Mass surveillance fundamentally changed the nature of surveillance. Similarly, mass spying will change the nature of spying. That world is forever gone.
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The Role of Big Data in Optimizing Rainwater Harvesting for Irrigation
Data Science Connect
JULY 24, 2023
By analyzing data from weather forecasts and historical precipitation trends, data scientists can optimize rainwater collection systems. These sensors collect data on soil moisture, temperature, humidity, and crop health, creating a comprehensive dataset that data scientists can leverage.
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Learn the TikTok moots meaning, catch the social media trend
Dataconomy
JANUARY 3, 2024
It becomes a dynamic and living language, evolving with each viral trend and meme, reflecting the collective creativity of the online community. In essence, social media lingo is more than just a collection of words; it’s a testament to the adaptability and inventiveness of online communication.
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Art Basel Miami 2023: Sustainability, Impact, Web3 Innovations, and the Fusion of Art with Purpose
Dataconomy
JANUARY 24, 2024
The Miami Foundation is a collective of three impact initiatives: Arts Access Miami, LGBTQ+ Equity Fund, and Racial Equity Fund. The City X NFT Art Project aims to safeguard the Municipal Gallery and Vovatanya Gallery’s collections forever.
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QR codes in AI and ML: Enhancing predictive analytics for business
Dataconomy
MAY 29, 2023
In their quest for effectiveness and well-informed decision-making, businesses continually search for new ways to collect information. QR codes have emerged as versatile tools for data collection, comprising patterns of black and white squares. Moreover, QR codes serve as a mechanism for data collection and analysis.
The Design Shift: Building Applications in the Era of Large Language Models
Towards AI
MARCH 15, 2024
An LLM-powered application can process inputs in natural language, including text and voice, allowing for more intuitive user interactions. It can understand inputs with a broader context, adapt to user preferences, and handle ambiguities in natural language. This question maps to the “Inputs” component in the core structure.
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Every step and smell holds an insight
Dataconomy
SEPTEMBER 11, 2023
In fact, this data collection management, which most popular algorithmically based social media applications have been using for a long time, may not be as evil as we think. However, the process of collecting and analyzing data doesn’t have to be manual.
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? How to Make UpSet Plots in R, with ggplot2 and ggupset
FlowingData
JANUARY 25, 2022
Sets, as in set theory, can be understood as objects belonging to one or more collections. The classic examples in mathematics are natural numbers, integers, rational and real numbers. In addition to a great format for visual jokes, Venn diagrams can clearly show overlap between sets. But sets are everywhere.
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The key to AI with human-like language understanding? Humans
Dataconomy
OCTOBER 28, 2016
According to the hype, the key to automated natural language understanding lies in vast data collections containing millions of words coupled with machine learning algorithms. There is general agreement that language is the key to AI, but who holds the key to language – algorithms or people? If you believe.
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The trainwreck of the NFT hype under scrutiny
Dataconomy
AUGUST 14, 2023
As the currents of the NFT world ripple on, projections whisper that Neymar’s once-princely investment may soon find itself resting at the doorstep of $92,000, a poignant reminder that even superstar fortunes can sway in the mercurial seas of digital collectibles. I am an ape! Featured image credit: Noelle Otto/Pexels
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Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes
Explosion
FEBRUARY 1, 2024
Using a corpus of Dutch image descriptions with concurrently collected eye-tracking data, we explore the nature of the variation in visuo-linguistic signals, and find that they correlate with each other.
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