IBM Journey to AI blog

JULY 5, 2024

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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Analytics Vidhya

JULY 5, 2024

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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Unite.AI

JULY 5, 2024

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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Analytics Vidhya

JULY 5, 2024

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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Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Marktechpost

JULY 5, 2024

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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Marktechpost

JULY 5, 2024

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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Analytics Vidhya

JULY 5, 2024

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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Marktechpost

JULY 5, 2024

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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Analytics Vidhya

JULY 5, 2024

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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Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

Marktechpost

JULY 5, 2024

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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Machine Learning Mastery

JULY 5, 2024

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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Marktechpost

JULY 5, 2024

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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NYU Center for Data Science

JULY 5, 2024

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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Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Marktechpost

JULY 5, 2024

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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Extreme Tech

JULY 5, 2024

The project will also need billions in additional funding.

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Marktechpost

JULY 5, 2024

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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Extreme Tech

JULY 5, 2024

The last few Pixels have used optical fingerprint scanners.

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Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

Marktechpost

JULY 5, 2024

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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Extreme Tech

JULY 5, 2024

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

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Pickl AI

JULY 5, 2024

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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Extreme Tech

JULY 5, 2024

Pour one out for Intel's 14nm process.

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Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

Becoming Human

JULY 5, 2024

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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Extreme Tech

JULY 5, 2024

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

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Unite.AI

JULY 5, 2024

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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Marktechpost

JULY 5, 2024

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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Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

Unite.AI

JULY 5, 2024

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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Marktechpost

JULY 5, 2024

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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Towards AI

JULY 5, 2024

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.

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