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In this contributed article, Mark Heitke, VP of Strategy at Symbiosys, discusses the role of AI in the emerging strategy of off-site retail media, how the access to retailer first-party data through an AI engine can create hyper-nuanced target customer groupings as well as the potential for predictive behavior analytics. As AI and retail media continue to intersect the potential for both retailers and brands expands exponentially resulting in a much better shopping and ad experience for the cons
Introduction OpenAI has released its new model based on the much-anticipated “strawberry” architecture. This innovative model, known as o1, enhances reasoning capabilities, allowing it to think through problems more effectively before providing answers. As a ChatGPT Plus user, I had the opportunity to explore this new model firsthand. I’m excited to share my insights on […] The post GPT-4o vs OpenAI o1: Is the New OpenAI Model Worth the Hype?
Introduction A central question in the discussion of large language models (LLMs) concerns the extent to which they memorize their training data versus how they generalize to new tasks and settings. Most practitioners seem to (at least informally) believe that LLMs do some degree of both: they clearly memorize parts of the training data—for example, they are often able to reproduce large portions of training data verbatim [ Carlini et al., 2023 ]—but they also seem to learn from this data, allow
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
Introduction Python is an object-oriented programming language (or OOPs). In my previous article, we explored its versatile nature. Due to this, Python offers a wide variety of data types, which can be broadly classified into mutable and immutable types. However, as a curious Python developer, I hope you also wonder how these concepts impact data. How is […] The post Mutable vs Immutable Objects in Python appeared first on Analytics Vidhya.
Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI or machine learning model, and […] The post Automating Data Cleaning Processes with Pandas appeared first on MachineLearningMastery.com.
Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI or machine learning model, and […] The post Automating Data Cleaning Processes with Pandas appeared first on MachineLearningMastery.com.
Introduction Tableau is considered one of the most robust data visualization tools currently in use by companies and individuals globally for efficient data analysis and presentation. With its user-friendly interface and extensive features, Mastering Tableau can significantly improve your capacity to transform raw data into valuable insights. Luckily, numerous top-quality YouTube channels provide in-depth tutorials […] The post Top 11 YouTube Channels to Learn Tableau appeared first on Ana
In this contributed article, Karthik Jagannathan, Head of Payments Advisory at Intix, discusses how companies can source, process, and optimize data to fully leverage AI, despite the challenges posed by legacy systems. This piece is important for understanding how foundational data systems can drive AI's transformative power.
Introduction We now live in the age of artificial intelligence, where everything around us is getting smarter by the day. State-of-the-art large language models (LLMs) and AI agents, are capable of performing complex tasks with minimal human intervention. With such advanced technology comes the need to develop and deploy them responsibly. This article is based […] The post How to Build Responsible AI in the Era of Generative AI?
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?
In the domain of machine learning, evaluating the performance and results of a classification model is a mandatory step. There are numerous metrics available to get this done. The ones discussed in this blog are the AUC (Area Under the Curve) and ROC (Receiver Operating Characteristic). It stands out for its effectiveness in measuring the performance of classification models and multi-class classification problems.
OpenAI introduces o1-mini, a cost-efficient reasoning model with a focus on STEM subjects. The model demonstrates impressive performance in math and coding, closely resembling its predecessor, OpenAI o1, on various evaluation benchmarks. OpenAI anticipates that o1-mini will serve as a swift and economical solution for applications demanding reasoning capabilities without extensive global knowledge.The launch of […] The post OpenAI’s o1-mini: A Game-Changing Model for STEM with Cost-E
Introduction How often do you truly think and reason before you speak? The current state-of-the-art LLM, GPT-4o, was already delivering impressive responses without taking much time to respond. But imagine if it started taking more time to think and build logic. With their latest model, o1, OpenAI has dropped a bombshell, introducing LLMs that can […] The post 3 Hands-On Experiments with OpenAI’s o1 You Need to See appeared first on Analytics Vidhya.
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!
Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adap
Every two years, since 2012 , the North American Cartographic Information Society publishes Atlas of Design. It’s a collection of beautiful maps and the process behind each. From series editor Nat Case, on how traditions in cartography can still feel new: This is one of the magical things about how people depict the world. Even if the point of the depiction is one you’ve seen or heard a thousand times, if you tell it right, a love song or a portrait or an action movie can still take
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Google has a more cohesive approach than ever for Pixel phones and wearables, and its Pixel 9 launch showed how it is deploying Gemini AI across all of its devices.
SAS has a programming language, but IS that all it is? Nope, but it still ranks high as a most marketable programming skill. The post Is SAS a programming language? appeared first on SAS Blogs.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to help meet your ML inference needs. It also helps scale your model deployment, manage models more effectively in production, and reduce operational burden.
Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses generative artificial intelligence (AI) to generate a SQL query from a user’s question in natural language.
Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
A survey at one of the biggest UK research universities finds that staff often end up flying to meetings despite a preference to avoid air travel. A survey at one of the biggest UK research universities finds that staff often end up flying to meetings despite a preference to avoid air travel.
The world of multi-view self-supervised learning (SSL) can be loosely grouped into four families of methods: contrastive learning, clustering, distillation/momentum, and redundancy reduction. Now, a new approach called Maximum Manifold Capacity Representations (MMCR) is redefining what’s possible, and a recent paper by CDS members, and others, “ Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations ,” pushes forward progress on this framework.
Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Use Large Language Models With Voice Data Get more from your voice data with our guides on using Large Language Models (LLMs) with LeMUR. Learn how to ask questions, summarize, extract, and generate content from your audio data: Ask questions about your audio data : Learn how to use LeMUR to ask questions and get insightful answers about your audio data.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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