insideBIGDATA
JULY 5, 2023
Multi-layer Perceptrons (MLPs) are the most fundamental type of neural network, so they play an important role in many machine learning systems and are the most theoretically studied type of neural network. A new paper from researchers at ETH Zurich pushes the limits of pure MLPs, and shows that scaling them up allows much better performance than expected from MLPs in the past.
Analytics Vidhya
JULY 5, 2023
Introduction Ever since the launch of GPT (Generative Pre Trained) by Open AI, the world has been taken by storm by Generative AI. From that period on, many Generative Models have come into the picture. With each release of new Generative Large Language Models, AI kept on coming closer to Human Intelligence. However, the Open […] The post Falcon AI: The New Open Source Large Language Model appeared first on Analytics Vidhya.
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insideBIGDATA
JULY 5, 2023
Generative AI is quickly becoming a top priority for any company’s digital transformation strategy. It is hijacking conversations everywhere, from the boardroom to the dining room – we’re even seeing accelerated M&A (ie. MosaicML) to help businesses build their own foundation models and generative AI tools. As business leaders assess how to be bullish on generative AI while mitigating risks such as bias, Domino Data Lab has announced findings from its second annual REVelate survey which exp
Analytics Vidhya
JULY 5, 2023
Introduction Welcome to the future of language processing! In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities. Among these advancements is the revolutionary Language Model, known as the LLM (Large Language Model), which has completely transformed the way we interact with […] The post Building LLM-Powered Applications with LangChain appeared first on Analytics Vidhya.
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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?
insideBIGDATA
JULY 5, 2023
Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines.
Data Science Dojo
JULY 5, 2023
Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. However, building and deploying a machine-learning model is not a simple task. It requires a comprehensive understanding of the end-to-end machine learning lifecycle. The development of a Machine Learning Model can be divided into three main stages: Building your ML data pipeline: This stage involves gathering data, cleaning it, and preparing it for modeling.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
databricks
JULY 5, 2023
Get started and build a credit data platform for your business by visiting the demo at dbdemos.ai. Introduction According to the World Bank's.
KDnuggets
JULY 5, 2023
Level up your coding skills by learning the hottest programming languages to boost your career and fatten your paycheck!
Dataconomy
JULY 5, 2023
Users frequently encounter with the Character AI not working issue. Let’s delve into understanding this challenge and uncover ways to address it effectively. It’s not cool to see this message: “We are experiencing a high volume of traffic and using a virtual queue to limit the number of users on Character.AI at the same time.” But there are things you can do.
databricks
JULY 5, 2023
This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.
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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.
Dataconomy
JULY 5, 2023
At a time when business models are becoming more and more virtual, reliable data has become a cornerstone of successful organizations. Reliable data serves as the bedrock of informed decision-making, enabling companies to gain valuable insights, identify emerging trends, and make strategic choices that drive growth and success. But what exactly is reliable data, and why is it so crucial in today’s business landscape?
Hacker News
JULY 5, 2023
During heat waves in Phoenix, Arizona, while some people fry eggs on sidewalks , Matt Heath, a heating, ventilation and air conditioning (HVAC) service manager at AC by J , is on the front line, helping maintain air conditioners in people’s homes. Heath has great job security: half of Phoenix residents are at risk of an emergency room visit or worse if their electricity fails during a future heat wave, according to a recent study.
IBM Data Science in Practice
JULY 5, 2023
Improve Cluster Balance with CPD Scheduler — Part 2 The default Kubernetes scheduler has some limitations that cause unbalanced clusters. You can see more details in part 1 on this topic. In an unbalanced cluster, some of the worker nodes are overloaded and others are under-utilized. Such clusters are not good for resource usage efficiency and a consistent performance experience.
Hacker News
JULY 5, 2023
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML researchers and engineers to join us.
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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.
Adrian Bridgwater for Forbes
JULY 5, 2023
Because we run cloud in such a virtualized and abstracted space, the quest for system observability and monitoring is always on.
KDnuggets
JULY 5, 2023
Predicting Movie Status Based on Review Sentiment.
JULY 5, 2023
Pioneer Square Labs in downtown Seattle hosted about 30 employees from Fortive for a week-long exercise to test out ideas for generative artificial intelligence businesses. (Pioneer Square Labs Photo) In the race to build generative artificial intelligence applications, it can be difficult for larger corporations to keep pace with nimble startups that can often test and experiment more rapidly.
Dataconomy
JULY 5, 2023
This week, a self-published author observed that books on Kindle Unlimited written by machines and packed with nonsense were dominating Amazon’s numerous bestselling lists. On Monday, author Caitlyn Lynch shared her findings on Twitter. There are supposedly a ton of books produced by artificial intelligence (AI) on Amazon Kindle. Recently, a number of authors have seen a notable increase in the number of AI-generated novels appearing on best-seller lists.
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.
Hacker News
JULY 5, 2023
Meta is taking on Twitter with a new app. Instagram today announced the anticipated launch of its text-based social networking app, Threads, which allows Instagram users to authenticate with their existing credentials in order to post short updates, including text up to 500 characters; links; photos; and videos up to 5 minutes in length.
JULY 5, 2023
When Celia Quillian began planning her first trip since the pandemic in mid-March, she had a few criteria as she searched for the right destination— temperate weather in spring, not crowded with tourists, and within the U.S. With all that in mind, Quillian, who lives in Atlanta, G.A.
Hacker News
JULY 5, 2023
Learn how to design systems at scale and prepare for system design interviews - GitHub - karanpratapsingh/system-design: Learn how to design systems at scale and prepare for system design interviews
JULY 5, 2023
There's been a lot of buzz about whether artificial intelligence could take your job — or, more precisely, whether a Gen Zer who knows how to use AI to their advantage could take your job.
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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.
Hacker News
JULY 5, 2023
Researchers at the National Astronomical Observatory of Japan (NAOJ) have invented a novel microwave isolator and have demonstrated, for the first time, its basic principle that enables small isolators; essential for future quantum computers. This isolator consists of two frequency mixers, which are widely used in receivers for radio telescopes, and paves the way for the development of large-scale multi-pixel radio cameras as well.
JULY 5, 2023
From open letters to congressional testimony, some AI leaders have stoked fears that the technology is a direct threat to humanity. The reality is less dramatic but perhaps more insidious.
Hacker News
JULY 5, 2023
CHICAGO — If you drive under the Old Main Post Office on the Eisenhower Expressway, just over the river you’ll see a nondescript building that’s easy to miss. The building appears to have a windowless concrete pedestal, and power equipment on the roof.
JULY 5, 2023
AI-infused hiring programs have drawn scrutiny, most notably over whether they end up exhibiting biases based on the data they’re trained on. New York City businesses that use artificial intelligence to help find hires now have to show the process was free from sexism and racism.
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.
Hacker News
JULY 5, 2023
[Note that this article is a transcript of the video embedded above.] This is the Carlsbad Desalination Plant outside of San Diego, California. It produces roughly ten percent of the area’s fresh water, around 50 million gallons or 23,000 cubic meters per day.
JULY 5, 2023
Welcome to the edge, which is likely to shape and shift our jobs and businesses before AI makes its mark.
Hacker News
JULY 5, 2023
I work for a tiny company that no one has ever heard of. Our main product is CRUD app that is designed like something straight out of 2010, complete with outdated frameworks.Recently the CEO has gone batsh*t with the concept of AI, essentially equate.
JULY 5, 2023
Oracle (ORCL) has experienced robust growth in artificial intelligence (AI), contributing to its strong financial performance. The company recently announced its initiative to provide free worldwide training in Cloud and AI to support career advancement in high-demand areas such as AI and machine learning (ML). This move aims to meet the increasing demand for Oracle.
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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.
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