Mon.Jul 01, 2024

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Functional Dependency in DBMS

Analytics Vidhya

Introduction It is important for anybody working in the field of data science to know how databases work. My name is Sabreena. Functional dependency is one of the most basic concepts to understand when it comes to database management. It helps in the design, normalization, and optimization of relational databases, which makes it pivotal for […] The post Functional Dependency in DBMS appeared first on Analytics Vidhya.

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EU probes Microsoft-OpenAI and Google-Samsung AI deals

AI News

The European Union has intensified its antitrust scrutiny on AI deals, starting with high-profile collaborations between Microsoft-OpenAI and Google-Samsung. Margrethe Vestager, the European Commission’s executive vice president for competition policy, warned that AI is “developing at breakneck speed” and revealed that multiple preliminary investigations are underway into various AI-related market practices.

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How to Build AI Agents Using “Tool Use”?

Analytics Vidhya

Introduction Before talking about AI Agents, It is imperative to understand the lifespan of a sophisticated language model like GPT. A large language model such as GPT starts its lifespan with pretraining when it learns from a massive corpus of textual data to establish a basic grasp of the language. The next step is supervised […] The post How to Build AI Agents Using “Tool Use”?

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AI Auditing: Ensuring Performance and Accuracy in Generative Models

Unite.AI

In recent years, the world has witnessed the unprecedented rise of Artificial Intelligence (AI) , which has transformed numerous sectors and reshaped our everyday lives. Among the most transformative advancements are generative models, AI systems capable of creating text, images, music, and more with surprising creativity and accuracy. These models, such as OpenAI's GPT-4 and Google's BERT , are not just impressive technologies; they drive innovation and shape the future of how humans and machin

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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 are Pre-training Methods of Vision Language Models?

Analytics Vidhya

Introduction This article explores Vision Language Models (VLMs) and their advantages over traditional computer vision-based models. It highlights the benefits of multimodal learning, their application in tasks such as image captioning and visual question answering, and the pre-training objectives and protocols of OpenAI’s SimVLM and CLIP. Learning Objectives This article was published as a part […] The post What are Pre-training Methods of Vision Language Models?

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Build a Travel Assistant Chatbot with HuggingFace, LangChain, and MistralAI

Analytics Vidhya

Introduction Planning a trip can be challenging these days. With so many choices for flights, hotels, and activities, travelers often find it difficult to pick the best options. Our Yatra Sevak.Ai chatbot is here to help. Imagine having a personal travel assistant at your fingertips someone who can book flights, find great hotels, recommend local […] The post Build a Travel Assistant Chatbot with HuggingFace, LangChain, and MistralAI appeared first on Analytics Vidhya.

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Rob Clark, President and CTO of Seekr – Interview Series

Unite.AI

Rob Clark is the President and Chief Technology Office (CTO) of Seekr. Rob has over 20 years of experience in software engineering, product management, operations, and the development of leading-edge artificial intelligence and web-scale technologies. Before joining Seekr, he led several artificial intelligence and search solutions for some of the world's largest telecommunications, publishing, and e-commerce companies.

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How to Build a SQL Agent with CrewAI and Composio?

Analytics Vidhya

Introduction SQL is easily one of the most important languages in the computer world. It serves as the primary means for communicating with relational databases, where most organizations store crucial data. SQL plays a significant role including analyzing complex data, creating data pipelines, and efficiently managing data warehouses. However, writing optimized SQL queries can often […] The post How to Build a SQL Agent with CrewAI and Composio?

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Smart Cities Breathe Easier: Integrating AI Into Air Purification Systems

Aiiot Talk

Smart cities are pinnacles of technological and environmental innovation. In the age of artificial intelligence (AI), smart tech and the Internet of Things (IoT) will become more competent. This is pivotal in cleaning urban air, which is laden with pollutants and causing health concerns. How is AI bringing breaths of fresh air to cities? Evidence for Using AI Air Detection and Purification Systems A region’s air quality dataset is invaluable to a budding smart city.

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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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What are Logarithms and Exponents in Complexity Analysis?

Analytics Vidhya

Introduction Logarithms and exponents are crucial in evaluating the efficiency of algorithms in computer science. This article discusses these mathematical concepts, detailing their significance in complexity analysis and offering practical examples to demonstrate their applications. Let’s also see and understand how logarithms and exponents impact algorithm performance.

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Celebrating diversity and inclusion through storytelling

IBM Journey to AI blog

At IBM®, fostering a culture of conscious inclusion and active allyship is paramount. Our commitment to diversity, equity and inclusion (DE&I) is not just a statement but a lived experience for every IBMer. Through our first season of the Be Equal podcast series, IBMers were in the spotlight as they took us deep into their unique experiences by simply sharing their stories.

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What Are Composite Keys in DBMS?

Analytics Vidhya

Introduction Keys play a crucial role in Database Management Systems (DBMS) like SQL. They ensure data integrity and efficient data retrieval in databases. Among the various types of keys, composite keys are particularly significant in complex database designs. In this article, we will explore what composite keys are, how they work, and how to use […] The post What Are Composite Keys in DBMS?

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Arcee AI Release Arcee Spark: A New Era of Compact and Efficient 7B Parameter Language Models

Marktechpost

Arcee AI has recently launched Arcee Spark , a groundbreaking language model with just 7 billion parameters. The release proves that size sometimes equates to performance and highlights a significant shift in the natural language processing (NLP) landscape, where smaller, more efficient models are becoming increasingly competitive. Introduction to Arcee Spark Arcee Spark is designed to deliver high performance within a compact framework, demonstrating that smaller models can achieve results on p

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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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Fine-tune your data lineage tracking with descriptive lineage

IBM Journey to AI blog

Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more. Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation.

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Fal AI Introduces AuraSR: A 600M Parameter Upsampler Model Derived from the GigaGAN

Marktechpost

In recent years, the field of artificial intelligence has witnessed significant advancements in image generation and enhancement techniques, as exemplified by models like Stable Diffusion, Dall-E, and many others. However, there remains a crucial challenge in this domain has been the upscaling of low-resolution images while maintaining quality and detail.

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Harnessing Enterprise AI: Innovations & Wins at Databricks

databricks

Discover how Databricks unlocks the transformative power of enterprise AI, from fraud detection to financial forecasting, and learn to harness AI's potential in your business.

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Transforming Software Development with Multi-Agent Collaboration: CodeStory’s Aide Framework Sets State-of-the-Art on SWE-Bench-Lite with 40.3% Accepted Solutions

Marktechpost

Recent developments in the field of software engineering have raised the bar for productivity and teamwork. A team of researchers from Codestory has recently developed a multi-agent coding framework called Aide that achieved a remarkable 40.3% accepted solutions on the SWE-Bench-Lite benchmark, establishing a new state-of-the-art. With its smooth integration into development environments and increased productivity, this framework promises to completely transform the way developers work with code

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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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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents.

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Researchers from UC Berkeley and Anyscale Introduce RouteLLM: An Open-Source Framework for Cost-Effective LLM Routing

Marktechpost

Large Language Models (LLMs) have showcased impressive capabilities across various tasks but vary widely in costs and capabilities. Deploying these models in real-world applications presents a significant challenge: routing all queries to the most capable models ensures high-quality responses but is expensive while directing queries to smaller models saves costs at the expense of response quality.

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Centari – ‘Knowledge Is Power + Firms Have The Data, It’s Just Unstructured’

Artificial Lawyer

Which transactional lawyer doesn’t want to be able to tap their firm’s prior deals for knowledge that can help them today? Naturally, they all do.

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How to Use ChatGPT to Make Engaging Technical Presentations

Marktechpost

Making an engaging PowerPoint presentation is a talent that may set you apart from your colleagues at work and classmates at school or university. You can be a working professional, student, or business owner; learning the art of presenting can open up new opportunities. Yes! Both the creation of a presentation and learning how to present it are a form of art.

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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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Identify idle endpoints in Amazon SageMaker

AWS Machine Learning Blog

Amazon SageMaker is a machine learning (ML) platform designed to simplify the process of building, training, deploying, and managing ML models at scale. With a comprehensive suite of tools and services, SageMaker offers developers and data scientists the resources they need to accelerate the development and deployment of ML solutions. In today’s fast-paced technological landscape, efficiency and agility are essential for businesses and developers striving to innovate.

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This AI Paper by UC Berkeley Explores the Potential of Self-play Training for Language Models in Cooperative Tasks

Marktechpost

Artificial intelligence (AI) has seen significant advancements through game-playing agents like AlphaGo, which achieved superhuman performance via self-play techniques. Self-play allows models to improve by training on data generated from games played against themselves, proving effective in competitive environments like Go and chess. This technique, which pits identical copies of a model against each other, has pushed AI capabilities beyond human performance in these zero-sum games.

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Record-Setting Mars Orbiter Captures New View of Monster Volcano

Extreme Tech

Odyssey has been orbiting Mars for more than 2 years, and it just repurposed its ice-scanning camera to get a new perspective on Olympus Mons.

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Pruner-Zero: A Machine Learning Framework for Symbolic Pruning Metric Discovery for Large Language Models (LLMs)

Marktechpost

A major challenge in computer vision and graphics is the ability to reconstruct 3D scenes from sparse 2D images. Traditional Neural Radiance Fields (NeRFs), while effective for rendering photorealistic views from novel perspectives, are inherently limited to forward rendering tasks and cannot invert to deduce the 3D structure from 2D projections. This limitation hinders the broader applicability of NeRFs in real-world scenarios where reconstructing accurate 3D representations from limited viewpo

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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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How NVIDIA Nim Can Revolutionize Deployment of Generative AI applications?

Towards AI

Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI. (Image source) There has been a drastic increase in number of generative AI products since the debut of ChatGPT in 2022. The field of generative AI has been seeing exponential development in recent years, from LLMs to text-to-image models and upcoming text-to-video models.

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Math-LLaVA: A LLaVA-1.5-based AI Model Fine-Tuned with MathV360K Dataset

Marktechpost

Research on Multimodal large language models (MLLMs) focuses on integrating visual and textual data to enhance artificial intelligence’s reasoning capabilities. By combining these modalities, MLLMs can interpret complex information from diverse sources such as images and text, enabling them to perform tasks like visual question answering and mathematical problem-solving with greater accuracy and insight.

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Training MoEs at Scale with PyTorch and Databricks

databricks

Mixture-of-Experts (MoE) has emerged as a promising LLM architecture for efficient training and inference. MoE models like DBRX , which use multiple expert.

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