Thu.Jun 06, 2024

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Palindrome Number in Python

Analytics Vidhya

Introduction Palindrome numbers those numbers that are same both as forward and backward. Because of this unique fact, it is an intriguing subject in mathematics. Their distinct qualities have captivated mathematicians, programmers, and educators alike. This article examines several approaches to Python palindrome number checking, from basic text manipulation to more complex recursive algorithms.

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AI pioneers turn whistleblowers and demand safeguards

AI News

OpenAI is facing a wave of internal strife and external criticism over its practices and the potential risks posed by its technology. In May, several high-profile employees departed from the company, including Jan Leike, the former head of OpenAI’s “super alignment” efforts to ensure advanced AI systems remain aligned with human values.

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How to Finetune Llama 3 for Sequence Classification?

Analytics Vidhya

Introduction Large Language Models are known for their text-generation capabilities. They are trained with millions of tokens during the pre-training period. This will help the large language models understand English text and generate meaningful full tokens during the generation period. One of the other common tasks in Natural Language Processing is the Sequence Classification Task. […] The post How to Finetune Llama 3 for Sequence Classification?

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AI News Weekly - Issue #388: What OpenAI and DeepMind Are Hiding from You – Exclusive Inside Scoop - Jun 6th 2024

AI Weekly

Powered by pitneybowes.com In the News Employees Say OpenAI and Google DeepMind Are Hiding Dangers From the Public A group of current and former employees at leading AI companies OpenAI and Google DeepMind published a letter on Tuesday warning against the dangers of advanced AI as they allege companies are prioritizing financial gains while avoiding oversight. time.com Sponsor WEBINAR: Shipping in the Goldilocks zone Shipping has always been complicated – but the way we work today makes it harde

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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 a Generative Model?

Analytics Vidhya

Introduction Generative models have revolutionized the landscape of AI by enabling the creation of new, realistic data instances based on training data distributions. These models are unlike their discriminative counterparts, which focus on classifying data. Instead, they delve into how data is generated, capturing the underlying distributions and patterns.

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Armstrong Number In Python

Analytics Vidhya

Introduction Welcome to our comprehensive guide on Armstrong numbers! Here, we explore the intriguing concept of Armstrong numbers. We begin by defining Armstrong numbers and their unique properties through examples. You will learn how to check if a number is an Armstrong number using Python. We will also discover various methods like iterative, recursive, and […] The post Armstrong Number In Python appeared first on Analytics Vidhya.

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LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Unite.AI

The recent progress and advancement of Large Language Models has experienced a significant increase in vision-language reasoning, understanding, and interaction capabilities. Modern frameworks achieve this by projecting visual signals into LLMs or Large Language Models to enable their ability to perceive the world visually, an array of scenarios where visual encoding strategies play a crucial role.

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Analytics Vidhya Luminary Awards at DataHack Summit 2024

Analytics Vidhya

The stage is set for the Analytics Vidhya Luminary Awards at the DataHack Summit 2024! This is where we celebrate the brightest minds in AI, from groundbreaking work in Generative AI to innovative solutions in the tech landscape. Witness the future being shaped, and join us in honoring these AI leaders. Nominate your heroes in […] The post Analytics Vidhya Luminary Awards at DataHack Summit 2024 appeared first on Analytics Vidhya.

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7 Best AI Online Course Creation Platforms (June 2024)

Unite.AI

AI-powered course creation platforms are gaining a lot of traction in the e-learning industry by streamlining the process of designing, developing, and publishing engaging educational content. These intelligent tools assist educators, entrepreneurs, and businesses in crafting immersive learning experiences that cater to diverse audiences. In this listicle, we will explore some of the best AI course creation platforms that are at the forefront of empowering course creators to build impactful and

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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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A Guide to Python HashMaps

Analytics Vidhya

Introduction In computer science, hashmaps are a crucial type of data structure. They implement an associative array that associates values with keys. HashMaps effectively computes an index into an array of buckets or slots containing the required information by utilizing a hash function. This results in highly efficient insertion, retrieval, and deletion processes.

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ProtEx: Enhancing Protein Function Prediction with Retrieval-Augmented Deep Learning

Marktechpost

Mapping protein sequences to their biological functions is crucial in biology, as proteins perform diverse roles in organisms. Functions are categorized using ontologies like Gene Ontology (GO) terms, Enzyme Commission (EC) numbers, and Pfam families. Computational predictions are essential due to the cost of lab experiments and rapid database growth.

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What is reduce() Function in Python?

Analytics Vidhya

Introduction Python is a powerful and versatile programming language with many built-in functions. One such function is reduce(), a tool for performing functional computations. It helps reduce a list of values to a single result. By applying a function to the iterable’s elements, reduce() returns a single cumulative value. This reduce() function is part of […] The post What is reduce() Function in Python?

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12 Most Popular Databases in 2024

Marktechpost

Many businesses employ one of the many database management systems available today, picking the one that best suits their needs. Every service out there, be it a social media platform, a payment app, a booking service, etc., stores massive quantities of data on its server. So, it’s not surprising that database administrator positions are rising in the IT industry, with a 9% annual growth rate, according to the US Bureau of Labor.

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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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Practice Python type() Function with Examples

Analytics Vidhya

Introduction Learning Python’s type() function is crucial to get hands on the various types of variables and objects in Python. This feature is necessary for debugging and is also a must-have to ensure that the software works as intended. Further in this article, we will be talking on syntax, features, and application of type() function […] The post Practice Python type() Function with Examples appeared first on Analytics Vidhya.

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Meet Mesop: A Python-based UI Framework that Allows You to Build Web Apps like Demos and Internal AI/ Machine Learning Apps

Marktechpost

Building web applications can be challenging, especially for users unfamiliar with JavaScript, CSS, or HTML. It’s difficult to quickly create functional and visually appealing web apps, particularly when time is limited. Hence, delays in the development process can hinder productivity and innovation. Several tools are available to help with web development, such as traditional frameworks like Django and Flask for Python developers.

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Build RAG applications using Jina Embeddings v2 on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce that the Jina Embeddings v2 model, developed by Jina AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running model inference. This state-of-the-art model supports an impressive 8,192-tokens context length. You can deploy this model with SageMaker JumpStart, a machine learning (ML) hub with foundation models, built-in algorithms, and pre-built ML solutions that you can deploy with just a few clicks.

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Nomic AI Releases Nomic Embed Vision v1 and Nomic Embed Vision v1.5: CLIP-like Vision Models that Can be Used Alongside their Popular Text Embedding Models 

Marktechpost

Nomic AI has recently unveiled two significant releases in multimodal embedding models: Nomic Embed Vision v1 and Nomic Embed Vision v1.5. These models are designed to provide high-quality, fully replicable vision embeddings that seamlessly integrate with the existing Nomic Embed Text v1 and v1.5 models. This integration creates a unified embedding space that enhances the performance of multimodal and text tasks, outperforming competitors like OpenAI CLIP and OpenAI Text Embedding 3 Small.

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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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How PepsiCo established an enterprise-grade data intelligence platform powered by Databricks Unity Catalog

databricks

This blog is authored by Bhaskar Palit , Senior Director, Data & Analytics, PepsiCo, and Sudipta Das , Data Architect Senior Manager, PepsiCo.

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PixelsDB: An Open-Source Data Analytic System that Allows Users without SQL expertise to Explore Data Efficiently

Marktechpost

Query-as-a-Service (QaaS), also called serverless query processing, is a method of running analytical queries on the cloud. Serverless query engines, like AWS Athena and Google BigQuery, automate resource management and scalability operations in contrast to traditional query engines that demand a large amount of manual labor. For individuals without extensive technical knowledge, this automation greatly simplifies the process by enabling users to run queries without having to handle the underlyi

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Analyst: Nvidia GPU Market Share Now at 88%, AMD With 12%

Extreme Tech

Intel is technically in the market, too, but it lacks enough share to register a blip on the radar.

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NVIDIA’s Autoguidance: Improving Image Quality and Variation in Diffusion Models

Marktechpost

Improving image quality and variation in diffusion models without compromising alignment with given conditions, such as class labels or text prompts, is a significant challenge. Current methods often enhance image quality at the expense of diversity, limiting their applicability in various real-world scenarios such as medical diagnosis and autonomous driving, where both high quality and variability are crucial.

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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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Google Is Now Reducing AI in Search Results, According to New Research

Marketing AI Institute

BrightEdge , a leading AI-powered SEO platform for enterprises, has some new exclusive research on how Google's AI Overviews—and AI in general—are impacting search. I sat down with BrightEdge founder and executive chairman Jim Yu to learn more about how AI is shaking up search.

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BioDiscoveryAgent: Revolutionizing Genetic Experiment Design with AI-Powered Insights

Marktechpost

Agents based on LLMs hold promise for accelerating scientific discovery, especially in biomedical research. They leverage extensive background knowledge to design and interpret experiments, particularly useful for identifying drug targets through CRISPR-based genetic perturbation. Despite their potential, LLM-based agents have yet to be fully utilized in designing biological experiments.

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Microsoft Opens Beta Program for Windows 10

Extreme Tech

Microsoft is still tweaking what is still the most popular version of the OS, even though it's on its way out.

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5 Useful Loss Functions

Machine Learning Mastery

A loss function in machine learning is a mathematical formula that calculates the difference between the predicted output and the actual output of the model. The loss function is then used to slightly change the model weights and then check whether it has improved the model’s performance. The goal of machine learning algorithms is to […] The post 5 Useful Loss Functions appeared first on MachineLearningMastery.com.

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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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AMD Zen 5 Mobile Won't Run on Windows 10

Extreme Tech

Microsoft has a looming problem on the horizon—too many people are still using Windows 10.

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Azure Databricks at Databricks Data + AI Summit 2024 featuring Industry Leaders and Pioneers

databricks

This is a collaborative post from Databricks and Microsoft. We thank Mohini Verma , Senior Product Marketing Manager, for her contributions. Data +.

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Jina AI Open Sources Jina CLIP: A State-of-the-Art English Multimodal (Text-Image) Embedding Model

Marktechpost

Multimodal learning is a rapidly evolving field focusing on training models to understand and generate content across various modalities, including text and images. By leveraging extensive datasets, these models can align visual and textual representations within a shared embedding space, facilitating applications such as image captioning and text-to-image retrieval.

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