Data Science Dojo

MARCH 23, 2024

Natural language processing (NLP) and large language models (LLMs) have been revolutionized with the introduction of transformer models. These refer to a type of neural network architecture that excels at tasks involving sequences. While we have talked about the details of a typical transformer architecture, in this blog we will explore the different types of the models.

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insideBIGDATA

MARCH 25, 2024

This article is excerpted from the book, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment," by Eric Siegel, Ph.D., with permission from the publisher, MIT Press. It is a product of the author’s work while he held a one-year position as the Bodily Bicentennial Professor in Analytics at the UVA Darden School of Business.

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KDnuggets

MARCH 27, 2024

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

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Analytics Vidhya

MARCH 28, 2024

Introduction Generative AI, in its essence, is like a wizard’s cauldron, brewing up images, text, and now videos from a set of ingredients known as data. The magic lies in its ability to learn from this data and generate new, previously unseen content strikingly similar to the real thing. Image generation models like DALL-E have […] The post Mora: An Open Source Alternative to Sora appeared first on Analytics Vidhya.

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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.

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databricks

MARCH 27, 2024

Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their.

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insideBIGDATA

MARCH 27, 2024

Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.

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Analytics Vidhya

MARCH 23, 2024

Introduction Meet Devika AI: your new go-to buddy in the world of coding. It’s not your typical run-of-the-mill software; it’s here to shake things up! Picture this: you’ve got an idea, a spark of creativity, but you’re unsure how to translate it into code. That’s where Devika AI swoops in to save the day. You […] The post Devika AI: An Open Source Alternative to Devin AI appeared first on Analytics Vidhya.

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databricks

MARCH 26, 2024

By Steve Sobel - Global Industry Leader; Communications, Media & Entertainment Today Databricks and Adobe are excited to announce a strategic partnership focused.

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KDnuggets

MARCH 26, 2024

Want to become a software engineer? Make it happen with these free courses and guides from Google.

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Dataconomy

MARCH 26, 2024

Runa Capital’s ROSS Index highlights the growing market for AI and open-source technologies, tracking the rapid expansion of this sector. It reflects an increasingly vibrant ecosystem fueled by technological advancements. Standouts like LangChain and startups such as Reflex and AITable exemplify the sector’s innovation through significant funding and groundbreaking projects.

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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.

Analytics Vidhya

MARCH 28, 2024

Deep learning is a powerful tool of artificial intelligence that’s changing many things. It is essential to have a good knowledge of Deep Learning, if you are aiming to make a career in AI. To make your life easy, we have made a list of some common Deep Learning ebooks, that you must read. This […] The post 12 Best Free Deep Learning eBooks appeared first on Analytics Vidhya.

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databricks

MARCH 28, 2024

Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader.

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KDnuggets

MARCH 29, 2024

Begin your MLOps journey with these comprehensive free resources available on GitHub.

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Dataconomy

MARCH 27, 2024

Researchers built AI that can learn tasks from text instructions and then communicate that knowledge to other AI systems. This eliminates the need for individual training for each AI, streamlining development. The AI network understands complete sentences, mimicking human interaction. This advancement in Natural Language Processing (NLP) allows AI to collaborate more effectively with humans.

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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.

Data Science

Analytics Vidhya

MARCH 28, 2024

Introduction There has been a massive surge in applications using AI coding agents. With the increasing quality of LLMs and decreasing cost of inference, it’s only getting easier to build capable AI agents. On top of this, the tooling ecosystem is evolving rapidly, making it easier to build complex AI coding agents. The Langchain framework […] The post Build an AI Coding Agent with LangGraph by LangChain appeared first on Analytics Vidhya.

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databricks

MARCH 27, 2024

Comments

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KDnuggets

MARCH 27, 2024

From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.

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Dataconomy

MARCH 27, 2024

Artificial Intelligence’s transformative power to reshape businesses becomes more evident as the world evolves. AI has transformed many industries, from automating repetitive work to enabling data-driven decisions. To integrate AI successfully into a business environment, it’s important to have a strategic vision, a thorough understanding of its potential challenges, and an in-depth knowledge of its benefits.

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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

Hacker News

MARCH 29, 2024

The researchers hit a rate of 301 terabits per second — equivalent to transferring 1,800 4K movies over the internet in one second — using existing fiber-optic cables.

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Dataversity

MARCH 29, 2024

Instead of celebrating World Backup Day 2024 for accomplishing another year of successful backups, I recommend using it to look forward to a year of testing recovery. Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

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FlowingData

MARCH 29, 2024

Alasdair Rae outlines the basics of visualizing basketball shot data with QGIS , an open-source software package typically used for geographic maps. Even if you’re not into basketball, sports data can be fun to poke at because it’s comprehensive and usually covers a good range of time and categories.

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Dataconomy

MARCH 28, 2024

Analysis of calls and quality control of interactions are among the main components of any call center’s operation, regardless of whether these are sales departments, user support services, or hotlines. But anyone who has dealt with this in real conditions often faces a choice between two options — to spend a massive amount of effort, resources, and time listening to and analyzing each call or to select only some of them, sometimes missing important details and aspects.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

AI

Hacker News

MARCH 28, 2024

Sam Bankman-Fried returns to Manhattan federal court Thursday for sentencing that could land him in prison for the next half-century. Follow here for the latest live news updates.

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IBM Journey to AI blog

MARCH 27, 2024

Here’s the situation: You’re the CIO or similarly empowered representative of an organization. Different voices within your business are calling attention to the awesome scalability and power of hyperscale computing, which you’ve also noticed with increasing interest. Now the word comes down from on high that you’ve been tasked with designing and implementing your company’s hyperscale computing solution—whatever that should be.

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O'Reilly Media

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent.

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Dataversity

MARCH 25, 2024

As shared in part one of this installment, the global marketplace faces an increasingly destructive cyber risk landscape each year, and 2024 is set to confirm this trend. The cost of data breaches alone is expected to reach $5 trillion, a growth of 11% from 2023. As technology advances, attackers continue to develop new, more sophisticated methods […] The post Future-Proof Your Cyber Risk Management with These Top Trends in 2024 (Part II) appeared first on DATAVERSITY.

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Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Hacker News

MARCH 29, 2024

Freeze 'em, heat 'em, blast them into empty space; with survival skills unlike any other organism on the planet, those hardy critters known as tardigrades will only come back for more.

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FlowingData

MARCH 25, 2024

Alec Singh added another dimension to Conway’s Game of Life for a pretty, mesmerizing animation. The z-axis is used to show positions over time.

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OpenAI

MARCH 25, 2024

We have gained valuable feedback from the creative community, helping us to improve our model.

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MoorInsights for Forbes

MARCH 26, 2024

Industry analyst Anshel Sag reviews announcements from Nvidia's annual GTC event, which reasserted the company's dominance in AI technology.

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Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating