Mon.Jun 03, 2024

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What is CONTAINS in SQL?

Analytics Vidhya

Introduction In SQL and database management, efficiently querying and retrieving data is paramount. Among the various tools and functions available, the CONTAINS function stands out for its capability to perform full-text searches within text columns. Unlike basic string functions, CONTAINS enables complex queries and patterns, making it a powerful asset for developers and database administrators. […] The post What is CONTAINS in SQL?

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Streamlining digital commerce: Integrating IBM API Connect with ONDC 

IBM Journey to AI blog

In the dynamic landscape of digital commerce, seamless integration and efficient communication drive the success of buyers, sellers and logistics providers. The Open Network for Digital Commerce (ONDC) platform stands as a revolutionary initiative to streamline the digital commerce ecosystem in India. When coupled with the robust capabilities of IBM API Connect®, this integration presents a game-changing opportunity for buyers, sellers and logistics partners to thrive in the digital marketp

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A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens

Analytics Vidhya

Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Combining retrieval mechanisms with language models to create contextually aware responses is fascinating. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

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NVIDIA Unveils Rubin Platform: The Next-Gen AI Chip

Unite.AI

In yet another big announcement at the Computex Conference in Taipei, NVIDIA CEO Jensen Huang unveiled more of the company's plans for the future of AI computing. The spotlight shone on the Rubin AI chip platform, set to launch in 2026, and the Blackwell Ultra chip, slated for 2025. The Rubin Platform As the successor to the highly anticipated Blackwell architecture, which is expected to ship later in 2024, the Rubin Platform represents a leap forward in NVIDIA's AI computing capabilities.

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How To Select the Right Software for Innovation Management

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!

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What is an Algorithm?

Analytics Vidhya

Introduction This article will provide you with a thorough understanding of algorithms, which are necessary steps in problem solving and processing. We’ll explore the principles of algorithms, the different kinds of them, and the wide range of uses they have in disciplines like machine learning, data science, and daily life. Algorithms are integral to automating […] The post What is an Algorithm?

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Memory Profiling in Python

Analytics Vidhya

Introduction Creating high-performing and efficient apps requires optimizing memory utilization in the present software development environment. Memory profiling is an efficient technique for accomplishing this. Memory profiling examines a program’s memory usage and finds memory-intensive code segments, possible memory leaks, and optimization possibilities.

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‘Create a Data Flywheel With AI,’ NVIDIA CEO Jensen Huang Tells Attendees at Snowflake Summit

NVIDIA

AI gives every company an opportunity to turn its processes into a data flywheel, NVIDIA founder and CEO Jensen Huang told thousands of attendees Monday at the Snowflake Data Cloud Summit. Companies need to “take all the most important processes they do, capture them in a data flywheel and turn that into the company’s AI to drive that flywheel even further,” said Huang, joining from Taipei a virtual fireside chat with Snowflake CEO Sridhar Ramaswamy in San Francisco.

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How to Trim Strings in Python?

Analytics Vidhya

Introduction The fundamentals of trimming strings in Python with the three potent functions.strip(),lstrip(), and.rstrip() are covered in this article. With these techniques, you can quickly and effectively eliminate specified characters and whitespace from the start and finish of strings. Whether you’re cleaning up your strings by deleting unnecessary spaces or removing characters […] The post How to Trim Strings in Python?

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Beyond the Reference Model: SimPO Unlocks Efficient and Scalable RLHF for Large Language Models

Marktechpost

Artificial intelligence is continually evolving, focusing on optimizing algorithms to improve the performance and efficiency of large language models (LLMs). Reinforcement learning from human feedback (RLHF) is a significant area within this field, aiming to align AI models with human values and intentions to ensure they are helpful, honest, and safe.

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The New Frontier: A Guide to Monetizing AI Offerings

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.

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Data Integration: Strategies for Efficient ETL Processes

Analytics Vidhya

Introduction In today’s data-driven landscape, businesses must integrate data from various sources to derive actionable insights and make informed decisions. This crucial process, called Extract, Transform, Load (ETL), involves extracting data from multiple origins, transforming it into a consistent format, and loading it into a target system for analysis.

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Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges

Marktechpost

AI legal research and document drafting tools promise to enhance efficiency and accuracy in performing complex legal tasks. However, these tools need help with their reliability in producing accurate legal information. Lawyers increasingly use AI to augment their practice, from drafting contracts to analyzing discovery productions and conducting legal research.

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What is Shell?

Analytics Vidhya

Introduction The shell serves as an essential user-operating system interface in the wide world of computers. The shell gives users exceptional efficiency and control over executing commands, running scripts, and managing system activities via a graphical user interface (GUI) or a command-line interface (CLI). This essay explores the many facets of shells, particularly emphasizing the […] The post What is Shell?

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Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation

Marktechpost

LLMs need to generate text reflecting the diverse views of multifaceted personas. Prior studies on bias in LLMs have focused on simplistic, one-dimensional personas or multiple-choice formats. However, many applications require LLMs to generate open-ended text based on complex personas. The ability to steer LLMs to represent these multifaceted personas accurately is critical to avoid oversimplified or biased representations.

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How to Master Product Portfolio Management

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.

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Transforming Customer Engagement with Generative AI

Analytics Vidhya

It was Bill Gates who said, “Every day we’re saying, ‘How can we keep this customer happy? How can we get ahead in innovation by doing this?… because if we don’t, somebody else will.” Truer words have never been spoken. But providing excellent customer service consistently is easier said than done. The realities are often […] The post Transforming Customer Engagement with Generative AI appeared first on Analytics Vidhya.

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IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router

Marktechpost

In recent research, a team of researchers from IEIT Systems has developed Yuan 2.0-M32, a sophisticated model built using the Mixture of Experts (MoE) architecture. Similar in base design to Yuan-2.0 2B, it is distinguished by its use of 32 experts. The model has an efficient computational structure because only two of these experts are active for processing at any given time.

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Checkout the Speaker Lineup at DataHack Summit 2024

Analytics Vidhya

Introduction As we prepare for another revolutionary edition of the DataHack Summit (DHS) 2024, we want to highlight the remarkable individuals who will guide us through a variety of transforming sessions. This year’s summit features an impressive lineup of industry leaders. Their thoughts and expertise are prepared to push the boundaries of artificial intelligence.

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Databricks + Tabular

databricks

We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

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.

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Top AI Courses Offered by Intel

Marktechpost

With its cutting-edge hardware and toolkits, Intel has been at the forefront of AI advancements. Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. This article lists top Intel AI courses, including those on deep learning, NLP, time-series analysis, anomaly detection, robotics, and edge AI deployment, providing a comprehensive learning path for leveraging Intel’s AI te

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5 Free Machine Learning Courses from Top Universities

Machine Learning Mastery

If you’re reading this article, I assume you already know what machine learning is. But just for a quick refresher, it’s simply making computers smart enough to do jobs that humans used to do, for example, taking attendance using facial recognition. Anyway, moving on to our main discussion, I know there are a lot of […] The post 5 Free Machine Learning Courses from Top Universities appeared first on MachineLearningMastery.com.

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Researchers at Microsoft Introduce Aurora: A Large-Scale Foundation Model of the Atmosphere Trained on Over a Million Hours of Diverse Weather and Climate Data

Marktechpost

Deep learning foundation models revolutionize fields like protein structure prediction, drug discovery, computer vision, and natural language processing. They rely on pretraining to learn intricate patterns from diverse data and fine-tuning to excel in specific tasks with limited data. The Earth system, comprising interconnected subsystems like the atmosphere, oceans, land, and ice, requires accurate modeling in a changing climate.

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Digital Bank Debunks Financial Fraud With Generative AI

NVIDIA

European neobank bunq is debunking financial fraudsters with the help of NVIDIA accelerated computing and AI. Dubbed “the bank of the free,” bunq offers online banking anytime, anywhere. Through the bunq app, users can handle all their financial needs exclusively online, without needing to visit a physical bank. With more than 12 million customers and 8 billion euros’ worth of deposits made to date, bunq has become one of the largest neobanks in the European Union.

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11 KPIs for Measuring Innovation Success

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.

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This Machine Learning Research from Microsoft Introduces an Active Preference Elicitation Method for the Online Alignment of Large Language Models

Marktechpost

Large Language Models (LLMs) have significantly advanced in recent times, primarily because of their increased capacity to follow human commands efficiently. Reinforcement Learning from Human Feedback (RLHF) is the main technique for matching LLMs to human intent. This method operates by optimizing a reward function, which can be reparameterized within the LLM’s policy or be an independent model.

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Microsoft's New Recall Feature in Windows Is Easy to Hack, Cybersecurity Expert Shows

Extreme Tech

Giving Windows photographic memory 'fundamentally breaks the promise of security in Windows,' he says.

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CycleFormer: A New Transformer Model for the Traveling Salesman Problem (TSP)

Marktechpost

Numerous groundbreaking models—including ChatGPT, Bard, LLaMa, AlphaFold2, and Dall-E 2—have surfaced in different domains since the Transformer’s inception in Natural Language Processing (NLP). Attempts to solve combinatorial optimization issues like the Traveling Salesman Problem (TSP) using deep learning have progressed logically from convolutional neural networks (CNNs) to recurrent neural networks (RNNs) and finally to transformer-based models.

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Tesla Prepares to Roll Out Full Self-Driving Across China

Extreme Tech

Chinese drivers currently have limited access to the autonomous driving software, which has been the topic of much safety discourse here in the US.

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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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Use of Pretrained BERT to Predict the Rating of Reviews

Towards AI

Last Updated on June 3, 2024 by Editorial Team Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. BERT is a state-of-the-art algorithm designed by Google to process text data and convert it into vectors ([link]. These can then by analyzed by other models (classification, clustering, etc) to produce different analyses. What makes BERT special is, apart from its good results, the fact that it is trained over billions of records and that Hugging Face provides already a good bat

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Intel Unveils Its All-New Lunar Lake Mobile Architecture, Coming Q3 2024

Extreme Tech

The company has tapped TSMC's 3nm process for it as well, marking a monumental shift in its CPU manufacturing strategy.

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Unsupervised Clustering: Can We Identify Clusters in the Descriptions of Sounds in Music?

Towards AI

Last Updated on June 4, 2024 by Editorial Team Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. The data used is tricky because it is a list of Spotify songs, which are assigned values that describe the sounds in them. At this point, the goal is to see if those descriptions can be used to identify the music genre or the artist. import numpy as npimport pandas as pdfrom sklearn.decomposition import PCAfrom sklearn.cluster import KMeansfrom sklearn.cluster import Agglomerati