Fri.Jul 05, 2024

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Putting AI to work in finance: Using generative AI for transformational change

IBM Journey to AI blog

Finance leaders are no strangers to the complexities and challenges that come with driving business growth. From navigating the intricacies of enterprise-wide digitization to adapting to shifting customer spending habits, the responsibilities of a CFO have never been more multifaceted. Amidst this complexity lies an opportunity. CFOs can harness the transformative power of generative AI (gen AI) to revolutionize finance operations and unlock new levels of efficiency, accuracy and insights.

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SQL DESCRIBE: Unveiling the Secrets of Your Tables

Analytics Vidhya

Introduction In relational databases, where data is meticulously organized in tables, understanding their structure is essential. SQL’s DESCRIBE (or DESC in some database systems) command gives you to become a data detective, peering into the internal makeup of your tables and extracting valuable information. Overview What is DESCRIBE? DESCRIBE is a non-destructive statement used to […] The post SQL DESCRIBE: Unveiling the Secrets of Your Tables appeared first on Analytics Vidhya.

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Full Guide on LLM Synthetic Data Generation

Unite.AI

Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive. In this comprehensive guide, we'll explore LLM-driven synthetic data generation, diving deep into its methods, applications, and best practices.

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How to Use DALL-E 3 API for Image Generation?

Analytics Vidhya

Introduction In Artificial Intelligence(AI), DALL-E 3 has emerged as a game-changing advancement in picture-generating technology. This current edition, developed by OpenAI, improves on previous iterations to generate increasingly sophisticated, nuanced, and contextually correct images from textual descriptions. As the third installment in the DALL-E series, it marks a substantial advancement in AI’s ability to grasp […] The post How to Use DALL-E 3 API for Image Generation?

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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How AI Scales with Data Size? This Paper from Stanford Introduces a New Class of Individualized Data Scaling Laws for Machine Learning

Marktechpost

Machine learning models for vision and language, have shown significant improvements recently, thanks to bigger model sizes and a huge amount of high-quality training data. Research shows that more training data improves models predictably, leading to scaling laws that explain the link between error rates and dataset size. These scaling laws help decide the balance between model size and data size, but they look at the dataset as a whole without considering individual training examples.

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Meet Jockey: A Conversational Video Agent Powered by LangGraph and Twelve Labs API

Marktechpost

Recent developments in the field of Artificial Intelligence are completely changing the way humans engage with video material. The open-source chat video agent ‘ Jockey ‘ is a great example of this innovation. Jockey provides improved video processing and interaction by utilizing the potent powers of Twelve Labs APIs and LangGraph. Twelve Labs offers modern video understanding APIs that can extract comprehensive insights from video footage.

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What is Few-Shot Prompting?

Analytics Vidhya

Introduction In machine learning, generating correct responses with minimum facts is essential. Few-shot prompting is an effective strategy that allows AI models to perform specific jobs by presenting only a few examples or templates. This approach is especially beneficial when the undertaking calls for limited guidance or a selected format without overwhelming the version with […] The post What is Few-Shot Prompting?

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Salesforce AI Research Unveils APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Marktechpost

Function-calling agent models, a significant advancement within large language models (LLMs), face the challenge of requiring high-quality, diverse, and verifiable datasets. These models interpret natural language instructions to execute API calls, which are critical for real-time interactions with various digital services. However, existing datasets often lack comprehensive verification and diversity, leading to inaccuracies and inefficiencies.

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Mastering Python’s Maximum Integer Value

Analytics Vidhya

Introduction Python is an extremely capable programming language that works well with integers of any size. Although this special functionality helps developers, there are some possible drawbacks as well. This page offers a thorough explanation of Python’s maximum integer value, as well as helpful hints, examples, and typical difficulties. Overview How Python Handles Integers?

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Memory3: A Novel Architecture for LLMs that Introduces an Explicit Memory Mechanism to Improve Efficiency and Performance

Marktechpost

Language modeling in artificial intelligence focuses on developing systems that can understand, interpret, and generate human language. This field encompasses various applications, such as machine translation, text summarization, and conversational agents. Researchers aim to create models that mimic human language abilities, allowing for seamless interaction between humans and machines.

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Tips for Effective Feature Engineering in Machine Learning

Machine Learning Mastery

Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding […] The post Tips for Effective Feature Engineering in Machine Learning appeared first on MachineLearningMastery.com.

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Claude AI: A Comprehensive Overview Exploring the Advanced Capabilities and Ethical Design of Anthropic’s Leading Language Model

Marktechpost

Claude AI, a leading large language model (LLM) developed by Anthropic, represents a significant leap in artificial intelligence technology. Let’s explore Claude AI in detail, highlighting its development, capabilities, and comparisons with prominent AI models like ChatGPT. Development and Ethical Framework Claude AI was developed by Anthropic, a startup co-founded by former OpenAI employees.

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Semi- and Self-Supervised Learning Help Clinicians Minimize Manual Labeling in Medical Image…

NYU Center for Data Science

Semi- and Self-Supervised Learning Help Clinicians Minimize Manual Labeling in Medical Image Analysis A new AI pipeline developed by researchers at CDS significantly reduces the need for manual labeling in medical image analysis tasks, as detailed in the study titled “ Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification ,” published in Nature Scientific Reports.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Top 5 Factors to Consider Whether To Buy or Build Generative AI Solutions

Marktechpost

The rise of generative AI (GenAI) technologies presents enterprises with a pivotal decision: should they buy a ready-made solution or build a custom one? This decision hinges on several critical factors, each influencing the investment’s outcome and the solution’s effectiveness. Below are the top five factors businesses should consider when making this decision. 1.

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Google May Use Ultrasonic Fingerprint Scanner in Pixel 9

Extreme Tech

The last few Pixels have used optical fingerprint scanners.

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Qdrant Unveils BM42: A Cutting-Edge Pure Vector-Based Hybrid Search Algorithm Optimizing RAG and AI Applications

Marktechpost

Qdrant, a leading provider of vector search technology, has introduced BM42 , a new algorithm designed to revolutionize hybrid search. For the past four decades, BM25 has been the standard algorithm used by search engines, from Google to Yahoo. However, the advent of vector search and the introduction of Retrieval-Augmented Generation (RAG) have highlighted the need for a more advanced solution.

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World's Largest Fusion Reactor Delayed Again to 2039

Extreme Tech

The project will also need billions in additional funding.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Top AI/Machine Learning/Data Science Courses from Udacity

Marktechpost

Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence. These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. With hands-on projects and real-world applications, Udacity’s AI courses provide practical experience in building and deploying AI solutions, preparing learners for roles in AI

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Windows 11 'Government Edition' With Zero Bloatware Is Like a Dream Come True

Extreme Tech

It's not used by any governments, but we'd spend money on it if we could.

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Optimising Inventory with Data Analytics and SQL Ranking

Pickl AI

Summary: This blog dives into SQL ranking, a powerful tool for inventory management. Learn how to rank products, identify trends, & make data-driven decisions to optimise stock levels, reduce costs, & boost customer satisfaction. Introduction In the ever-evolving world of supply chain management, optimising inventory levels is a constant battle.

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Intel Discontinues Core i9-12900KS and Comet Lake CPUs

Extreme Tech

Pour one out for Intel's 14nm process.

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Navigating the Automation Landscape: Selecting Tools That Fit Your Business

Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

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Role of Medical Image Annotation in Enhancing Healthcare

Becoming Human

Summary : Medical Data Annotation helps healthcare providers in making accurate diagnoses by enhancing the accuracy of diagnostic tools. It also ensures that customized treatment plans are created to cater to individual patients. Medical images provide the necessary hints for diagnosing health issues. These images are in turn used by computers for deciphering visual clues via medical image annotation.

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Rip Full-Length DVDs to Play on Your Devices With This $25 Deal

Extreme Tech

Convert your favorite DVDs to popular audio-visual formats compatible with computers and smart TVs.

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Stylar AI Review: Cut Down Your Design Work with AI by 10X

Unite.AI

As someone who went to school for graphic design and has spent countless hours mastering the complexities of Photoshop, I understand firsthand the steep learning curve and the meticulous nature of manual photo editing. As powerful as Photoshop's tools are, they come with a price: a significant investment of time and effort to achieve professional results.

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Researchers at Princeton University Reveal Hidden Costs of State-of-the-Art AI Agents

Marktechpost

There has been a lot of development in AI agents recently. However, one single goal—accuracy—has dominated evaluation and is vital to agent development. According to a recent study out of Princeton University, agents that are unnecessarily complicated and costly to run are the result of focusing only on accuracy. The team suggests a change to an evaluation paradigm that takes cost into account, where accuracy and cost are optimized together.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

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Global AI Talent Wars: How Immigration Policies Tip the Scales

Unite.AI

The competitiveness of America’s tech sector depends on the technical skills of its workers. American companies rely largely on overseas STEM talent to fill essential roles in increasingly competitive and strategic fields like AI. Pathways to legal immigration and work status have provided the boost American businesses need to maintain an innovative edge and an answer for talented foreign nationals who want to build their careers and lives here.

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Beyond Deep Learning: Evaluating and Enhancing Model Performance for Tabular Data with XGBoost and Ensembles

Marktechpost

In solving real-world data science problems, model selection is crucial. Tree ensemble models like XGBoost are traditionally favored for classification and regression for tabular data. Despite their success, deep learning models have recently emerged, claiming superior performance on certain tabular datasets. While deep neural networks excel in fields like image, audio, and text processing, their application to tabular data presents challenges due to data sparsity, mixed feature types, and lack

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AdaBoost Explained From Its Original Paper

Towards AI

Last Updated on July 5, 2024 by Editorial Team Author(s): Christian Guerra Originally published on Towards AI. This publication is meant to show a very popular ML algorithm in complete detail, how it works, the math behind it, how to execute it in Python and an explanation of the proofs of the original paper. There will be math and code, but it is written in a way that allows you to decide which are the fun parts.