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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Field programmable gate arrays (FPGAs) vs. microcontrollers: What’s the difference?

IBM Journey to AI blog

Field programmable gate arrays (FPGAs) and microcontroller units (MCUs) are two types of commonly compared integrated circuits (ICs) that are typically used in embedded systems and digital design. Both FPGAs and microcontrollers can be thought of as “small computers” that can be integrated into devices and larger systems. As processors, the primary difference between FPGAs and microcontrollers comes down to programmability and processing capabilities.

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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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Summarize audio with LLMs in Node.js

AssemblyAI

Large Language Models (LLMs) are capable of performing a wide range of tasks with text. In this tutorial, you'll learn how to use LLMs using LeMUR to summarize audio with Node.js. Summarizing audio is a two-step process. First, you need to transcribe the audio to text. Then, once you have a transcript, you need to prompt an LLM to summarize it.

Python 278
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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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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.

Python 295
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TickLab: Revolutionizing Finance with AI-Powered Quant Hedge Fund and E.D.I.T.H.

AI News

TickLab , founded by visionary CTO Yasir Albayati, is at the forefront of innovation in the financial sector, specialising in deploying advanced decentralised AI into finance. Our company operates as a quantitative hedge fund, focusing on crypto, stocks, and forex markets. With the launch of our cutting-edge Quantitative Decentralised AI Hedge Fund, we offer investors the unparalleled opportunity to capitalise on market movements at microsecond speed.

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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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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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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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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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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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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CreatorsJet Review: The Ultimate Tool for Content Creators?

Unite.AI

If you're a content creator or influencer, a media kit is a must for landing more brand deals. It gives potential brand collaborators an insight into your work, audience demographics, and more. I recently came across CreatorsJet , a user-friendly AI tool to manage campaigns and instantly generate customizable media kits you can share with potential collaborators with a single link.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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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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Thinking Outside of the Box to Drive AI Innovation

Unite.AI

For many of us innovating in the AI space, we are working in uncharted territory. Given how quickly AI companies are developing new technologies, one might take for granted the dogged work behind the scenes. But in a field like XR, where the mission is to blur the lines between the real and digital worlds — there is currently not a lot of historical data or research to lean on; so we need to think outside the box.

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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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‘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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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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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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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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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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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The Tumultuous IT Landscape Is Making Hiring More Difficult

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!

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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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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

In today’s fast-paced corporate landscape, employee mental health has become a crucial aspect that organizations can no longer overlook. Many companies recognize that their greatest asset lies in their dedicated workforce, and each employee plays a vital role in collective success. As such, promoting employee well-being by creating a safe, inclusive, and supportive environment is of utmost importance.

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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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Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings

AWS Machine Learning Blog

In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that may occur in these locations.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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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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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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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.