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.

Generative AI 323

Generative AI AI AI Automation 323

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.

316

316

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.

LLM 259

LLM Prompt Engineer Prompt Engineering Data Scarcity 259

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?

Artificial Intelligence 216

Artificial Intelligence Artificial Intelligence OpenAI AI 216

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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.

AI 147

AI AI Auto-complete AI Tools 147

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.

AI 137

AI AI ML Artificial Intelligence 137

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?

Machine Learning 257

Machine Learning AI Modeling Prompt Engineer Prompt Engineering 257

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.

Machine Learning 130

Machine Learning BERT Deep Learning Explainability 130

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?

Python 219

Python 219

Advertisement

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?

Business Intelligence

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.

Large Language Models 128

Large Language Models Artificial Intelligence Artificial Intelligence LLM 128

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.

Explainability 92

Explainability Algorithm Machine Learning Python 92

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.

Automation 128

Automation AI Research AI Researcher Large Language Models 128

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.

Machine Learning 85

Machine Learning Algorithm 85

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

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.

Large Language Models 127

Large Language Models Data Quality Artificial Intelligence Artificial Intelligence 127

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.

Deep Learning 74

Deep Learning Explainability Algorithm AI Modeling 74

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.

Large Language Models 122

Large Language Models Neural Network ChatGPT Explainability 122

Extreme Tech

JULY 5, 2024

The project will also need billions in additional funding.

119

119

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

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.

Generative AI 115

Generative AI AI AI Artificial Intelligence 115

Extreme Tech

JULY 5, 2024

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

101

101

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.

Algorithm 111

Algorithm AI AI Large Language Models 111

Extreme Tech

JULY 5, 2024

The last few Pixels have used optical fingerprint scanners.

112

112

Advertisement

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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

Deep Learning 110

Deep Learning Neural Network Algorithm Machine Learning 110

Extreme Tech

JULY 5, 2024

Pour one out for Intel's 14nm process.

108

108

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

Data Science 64

Data Science Machine Learning Software Engineer Data Analysis 64

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.

Data Analysis 52

Data Analysis Data Scientist Machine Learning 52

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Extreme Tech

JULY 5, 2024

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

52

52

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.

Natural Language Processing 40

Natural Language Processing Artificial Intelligence Artificial Intelligence Algorithm 40

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.

AI 195

AI AI AI Research AI Researcher 195