insideBIGDATA
MAY 31, 2024
In this contributed article, Simone Bohnenberger-Rich, PhD, Chief Product Officer at Phrase, explores the dangers and challenges posed to business leaders as gen AI companies like ChatGPT open up their tools for deeper integration into organizations.
KDnuggets
MAY 28, 2024
Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.
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Analytics Vidhya
MAY 27, 2024
Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?
Eugene Yan
MAY 25, 2024
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Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
insideBIGDATA
MAY 25, 2024
A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.
KDnuggets
MAY 31, 2024
Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science Dojo
MAY 27, 2024
In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. Yet the crucial question arises: Which of these emerges as the foremost driving force in AI innovation?
Analytics Vidhya
MAY 28, 2024
Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.
KDnuggets
MAY 28, 2024
Check out this beginner's guide to take advantage of Google’s AI tools.
Machine Learning Mastery
MAY 29, 2024
Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation […] The post Tips for Deploying Machine Learning Models Efficiently appeared first on MachineLearningMastery.com.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Adrian Bridgwater for Forbes
MAY 26, 2024
Higher resolution data has a rich set of values related to images, movement, sound and unstructured elements that we now seek to bring structure to.
Analytics Vidhya
MAY 30, 2024
Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.
KDnuggets
MAY 31, 2024
SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.
insideBIGDATA
MAY 31, 2024
In this contributed article, Alexis Liu, Head of Legal at Weights & Biases, discusses how intellectual property (IP) protection is a difficult area to navigate in the age of generative AI (GenAI). This article explores the law as it stands today, ways to protect GenAI work from an IP perspective, and what work you should avoid using GenAI on in the first place.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Adrian Bridgwater for Forbes
MAY 29, 2024
Computinng cloud’s should be clearer more clinically defined computing entities, so what’s going on?
Analytics Vidhya
MAY 27, 2024
Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.
KDnuggets
MAY 29, 2024
Level up your Python skills for data science with these by following these best practices.
insideBIGDATA
MAY 28, 2024
In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
databricks
MAY 28, 2024
The annual Data Team Awards celebrate the critical contributions of data teams to various sectors, spotlighting their role in driving progress and positive.
Analytics Vidhya
MAY 29, 2024
Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?
KDnuggets
MAY 27, 2024
A course that helps career switchers and advancers harness the power of AI to transform the way they work.
Machine Learning Research at Apple
MAY 27, 2024
Transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, their computational complexity increases with transformer depth/width or the number of input tokens and requires patchy approximation to operate on even latent input sequences.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
databricks
MAY 29, 2024
This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner , we're more than just a flight search engine.
Analytics Vidhya
MAY 30, 2024
Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.
KDnuggets
MAY 27, 2024
Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.
Dataconomy
MAY 27, 2024
For many years, the personal data of billions of people has been stored on centralized servers owned by big tech giants like Google, Amazon, and Facebook. While these international corporations have built monolithic empires through the collection of vast troves of monetizable data – often without transparency or consent – frequent breaches have repeatedly highlighted their vulnerability.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
databricks
MAY 31, 2024
Special thanks to Caleb Benningfield and Sam Malissa at Amperity for their valuable insights and contributions to this blog. Today, businesses face a.
Analytics Vidhya
MAY 27, 2024
Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.
KDnuggets
MAY 30, 2024
Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.
Data Science Dojo
MAY 30, 2024
Neural networks have emerged as a transformative force across various sectors, revolutionizing multiple fields with a wide range of industrial applications. Some prominent industries changing with the power of neural networks include healthcare, finance, and automotive technology. Inspired by the human brain, artificial neural networks (ANNs) leverage bio-inspired computational models to solve complex problems and perform tasks previously exclusive to human intelligence.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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