Thu.Sep 21, 2023

article thumbnail

Cutting Edge Tricks of Applying Large Language Models

Analytics Vidhya

Introduction Large language models (LLMs) are prominent innovation pillars in the ever-evolving landscape of artificial intelligence. These models, like GPT-3, have showcased impressive natural language processing and content generation capabilities. Yet, harnessing their full potential requires understanding their intricate workings and employing effective techniques, like fine-tuning, for optimizing their performance.

Modeling 341
article thumbnail

Altair Accelerates Data Analytics with RapidMiner

David Menninger's Analyst Perspectives

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Survey of Large Language Models (LLMs)

Analytics Vidhya

Introduction The landscape of technological advancement has been dramatically reshaped by the emergence of Large Language Models (LLMs), an innovative branch of artificial intelligence. These models, driven by sophisticated machine learning algorithms and substantial computing power, represent a leap forward in our ability to understand, generate, and manipulate human language.

Modeling 329
article thumbnail

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress.

Testing 182
article thumbnail

Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

article thumbnail

DreamBooth: Stable Diffusion for Custom Images

Analytics Vidhya

Introduction Welcome to the world of Stable Diffusion techniques for creating custom images, where creativity knows no bounds. In the realm of AI-powered image generation, DreamBooth emerges as a game-changer, granting individuals the remarkable ability to craft bespoke visuals tailored to their unique ideas. Stable Diffusion breathes life into the creative process, elevating ordinary images […] The post DreamBooth: Stable Diffusion for Custom Images appeared first on Analytics Vidhya.

article thumbnail

The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. The potential impacts are reminiscent of the dawn of the Internet, and are likely to be just as transformative for businesses. According to McKinsey, gen AI is poised to add up to an annual $4.4 billion to the global economy. AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in

More Trending

article thumbnail

6 deadly sins of enterprise architecture

CIO Business Intelligence

Keeping the enterprise running has never been an easy task. The rise of software tools have made many parts of the workflow faster, smoother, and more consistent for everyone but those who have to keep the software running. It’s like the old line about a duck gliding along a pond: Everything above the water looks placid, while below the water line the feet frantically paddle.

article thumbnail

Training Your Own LLM Without Coding

Analytics Vidhya

Introduction Generative AI, a captivating field that promises to revolutionize the way we interact with technology and generate content, has taken the world by storm. In this article, we’ll explore the fascinating realm of Large Language Models (LLMs), their building blocks, the challenges posed by closed-source LLMs, and the emergence of open-source models.

article thumbnail

Four questions for a casino InfoSec director

CIO Business Intelligence

Recent cyberattacks at MGM Resorts and Caesars Entertainment have put the spotlight on cybersecurity practices at casinos – and the importance of educating employees on social engineering tactics. With the CSO50 Conference + Awards coming to the We-Ko-Pa Casino Resort in Fort McDowell, Arizona, October 2-4, we asked Bill Tsoukatos, Information Technology Director at Fort McDowell Enterprises, which owns the resort, to tell us what it’s like to manage IT security at a casino property.

article thumbnail

Google’s PaLM 2: Revolutionizing Language Models

Analytics Vidhya

Introduction In the rapidly evolving landscape of artificial intelligence, tech companies are in a fierce race to develop highly efficient AI models that can contribute meaningfully to the world. Google, a key player in this race, consistently invests in extensive research to push the boundaries of what AI can achieve. The fruits of their labor […] The post Google’s PaLM 2: Revolutionizing Language Models appeared first on Analytics Vidhya.

Modeling 259
article thumbnail

Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

article thumbnail

Machine Learning Evaluation Metrics: Theory and Overview

KDnuggets

High-level exploration of evaluation metrics in machine learning and their importance.

article thumbnail

Embracing Data Mesh: A Modern Approach to Data Management

Data Virtualization

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle. The post Embracing Data Mesh: A Modern Approach to Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Informatio

article thumbnail

How Generative AI is disrupting data practices

KDnuggets

Sponsored Content By Bill Hammond, Event Director, Big Data London Generative AI has created a shift in how we interact with and utilise data, with Read more »

Big Data 105
article thumbnail

IBM TechXchange underscores the importance of AI skilling and partner innovation

IBM Big Data Hub

Generative AI and large language models are poised to impact how we all access and use information. But as organizations race to adopt these new technologies for business, it requires a global ecosystem of partners with industry expertise to identify the right enterprise use-cases for AI and the technical skills to implement the technology. During TechXchange , IBM’s premier technical learning event in Las Vegas last week, IBM Partner Plus members including our Strategic Partners, reseller

ROI 104
article thumbnail

Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

article thumbnail

Traditional AI vs Generative AI

KDnuggets

Helping beginners understand the difference between traditional AI and generative AI.

100
100
article thumbnail

Four Leadership Motions make leading transformative work easier

CIO Business Intelligence

Have you ever been tasked to lead a cross-functional project at work? You may have encountered multiple stakeholders–all believing that their viewpoint is the most valuable–competing to have their own needs met instead of collaborating to make progress. My business partner and wife, Janice Fraser, and I have seen this play out countless times in our experience guiding companies through transformative processes and projects.

article thumbnail

Google's Rules of Machine Learning still apply in the age of large language models

Data Science and Beyond

Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.

article thumbnail

Your Features Are Important? It Doesn’t Mean They Are Good

KDnuggets

“Feature Importance” is not enough. You also need to look at “Error Contribution” if you want to know which features are beneficial for your model.

IT 80
article thumbnail

Apache Airflow® Best Practices: DAG Writing

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!

article thumbnail

Accelerate Amazon Redshift secure data use with Satori – Part 1

AWS Big Data

This post is co-written by Lisa Levy, Content Specialist at Satori. Data democratization enables users to discover and gain access to data faster, improving informed data-driven decisions and using data to generate business impact. It also increases collaboration across teams and organizations, breaking down data silos and enabling cross-functional teams to work together more effectively.