Mon.Jul 29, 2024

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What is CONCAT in SQL?

Analytics Vidhya

Introduction The CONCAT function in Structured Query Language (SQL) connects or concatenates two or more strings into a single string. This feature is crucial for data formatting and modification, which makes it an indispensable tool for database developers and administrators. Furthermore, concatenating strings can be done with the + operator in certain SQL dialects.

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Amazon strives to outpace Nvidia with cheaper, faster AI chips

AI News

Amazon’s chip lab is churning out a constant stream of innovation in Austin, Texas. A new server design was put through its paces by a group of devoted engineers on July 26th. During a visit to the facility in Austin, Amazon executive Rami Sinno shed light on the server’s use of Amazon’s AI chips. This development is a bold step toward competing with Nvidia, the current leader in the field.

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How to Build a Conversational Chatbot with GPT-4o?

Analytics Vidhya

Introduction Chatbots are now essential tools for developers and organizations alike in the rapidly changing fields of artificial intelligence and natural language processing. A chatbot’s capacity to retain context during a conversation is essential to developing one that is genuinely interesting and intelligent. With an emphasis on managing conversation history to provide more human-like interactions, […] The post How to Build a Conversational Chatbot with GPT-4o?

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Anthropic to Google: Who’s winning against AI hallucinations?

AI News

Galileo, a leading developer of generative AI for enterprise applications, has released its latest Hallucination Index. The evaluation framework – which focuses on Retrieval Augmented Generation (RAG) – assessed 22 prominent Gen AI LLMs from major players including OpenAI, Anthropic, Google, and Meta. This year’s index expanded significantly, adding 11 new models to reflect the rapid growth in both open- and closed-source LLMs over the past eight months.

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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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Automated Text Summarization with Sumy Library

Analytics Vidhya

Introduction Imagine you’re tasked with reading through mountains of documents, extracting the key points to make sense of it all. It feels overwhelming, right? That’s where Sumy comes in, acting like a digital assistant with the power to swiftly summarize extensive texts into concise, digestible insights. Picture yourself cutting through the noise and focusing on […] The post Automated Text Summarization with Sumy Library appeared first on Analytics Vidhya.

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Building Smart AI Agents with LangChain

Analytics Vidhya

Introduction Imagine introducing your grandmother to the marvels of artificial intelligence by letting her interact with ChatGPT, witnessing her excitement as the AI engages in a seamless conversation. This article explores how you can create your own intelligent AI agents using LangChain, a powerful Python library that simplifies the development process.

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Transformer Impact: Has Machine Translation Been Solved?

Unite.AI

Google recently announced their release of 110 new languages on Google Translate as part of their 1000 languages initiative launched in 2022. In 2022, at the start they added 24 languages. With the latest 110 more, it’s now 243 languages. This quick expansion was possible thanks to the Zero-Shot Machine Translation , a technology where machine learning models learn to translate into another language without prior examples.

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Top 30+ MySQL Interview Questions

Analytics Vidhya

Introduction As you prepare for your MySQL interview, consider the wide range of topics you may encounter. MySQL is a key tool in data management and analytics. This guide presents over 30 MySQL interview questions, covering both theory and practical skills. Topics range from basic definitions to complex query optimization. By reviewing these questions, you’ll […] The post Top 30+ MySQL Interview Questions appeared first on Analytics Vidhya.

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Harnessing XaaS to reduce costs, risks and complexity

IBM Journey to AI blog

To drive fast-paced innovation, enterprises are demanding models that focus on business outcomes, as opposed to only measuring IT results. At the same time, these enterprises are under increasing pressure to redesign their IT estates in order to lower cost and risk and reduce complexity. To meet these challenges, Everything as a Service (XaaS) is emerging as the solution that can help address these challenges by simplifying operations, reducing risk and accelerating digital transformation.

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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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Tool-Calling with Llama 3.1: Integrating Real-Time Data in Open-Source Models

Analytics Vidhya

Introduction Meta has been at the forefront when it comes to the open-source of Large Language Models. The release of the Llama architecture has led the world to believe that there is hope in the open-source models to reach the performance of the current state-of-the-art models. Meta has been continuously improving their family of models […] The post Tool-Calling with Llama 3.1: Integrating Real-Time Data in Open-Source Models appeared first on Analytics Vidhya.

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Sustainable Growth Starts With Building the Foundation for Gen AI

Unite.AI

How many times have you talked about generative AI recently? It seems to come up in every single business meeting, irrespective of the agenda or topic of conversation. Given this trend, it’s no surprise that business spend on generative AI technology is following one of the steepest ascents ever. Large global enterprises spent $15 billion on gen AI solutions in 2023, representing about 2% of the global enterprise software market in the technology’s first full year.

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Recipe for Magic: WPP and NVIDIA Omniverse Help The Coca-Cola Company Scale Generative AI Content That Pops With Brand Authenticity

NVIDIA

When The Coca-Cola Company produces thirst-quenching marketing, the creative elements of campaigns aren’t just left to chance — there’s a recipe for the magic. Now, the beverage company, through its partnership with WPP Open X, is beginning to scale its global campaigns with generative AI from NVIDIA Omniverse and NVIDIA NIM microservices. “With NVIDIA, we can personalize and customize Coke and meals imagery across 100-plus markets, delivering on hyperlocal relevance with speed and at global sca

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Josh Claman, CEO of Accelsius – Interview Series

Unite.AI

Josh Claman is the CEO of Accelsius, he is an expert global executive with over 30 years of experience in data center technology. He’s driven growth and innovation at NCR, AT&T, and, as a Dell Executive, he managed significant business units across Europe and the Americas, including as General Manager of Dell UK. Post-Dell, he has led ventures in 3D printing and digital health, championing transformative tech.

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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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Hugging Face Offers Developers Inference-as-a-Service Powered by NVIDIA NIM

NVIDIA

One of the world’s largest AI communities — comprising 4 million developers on the Hugging Face platform — is gaining easy access to NVIDIA-accelerated inference on some of the most popular AI models. New inference-as-a-service capabilities will enable developers to rapidly deploy leading large language models such as the Llama 3 family and Mistral AI models with optimization from NVIDIA NIM microservices running on NVIDIA DGX Cloud.

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ODYSSEY: A New Open-Source AI Framework that Empowers Large Language Model (LLM)-based Agents with Open-World Skills to Explore the Vast Minecraft World

Marktechpost

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed to operate independently, make decisions, and adapt to changing environments. These agents are crucial for tasks that require long-term planning and interaction with complex, dynamic settings.

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‘Everybody Will Have an AI Assistant,’ NVIDIA CEO Tells SIGGRAPH Audience

NVIDIA

The generative AI revolution — with deep roots in visual computing — is amplifying human creativity even as accelerated computing promises significant gains in energy efficiency, NVIDIA founder and CEO Jensen Huang said Monday. That makes this week’s SIGGRAPH professional graphics conference, in Denver, the logical venue to discuss what’s next.

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Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira

AWS Machine Learning Blog

Effective customer support and project management are critical aspects of providing effective customer relationship management. Atlassian Jira , a platform for issue tracking and project management functions for software projects, has become an indispensable part of many organizations’ workflows to ensure success of the customer and the product. However, extracting valuable insights from the vast amount of data stored in Jira often requires manual efforts and building specialized tooling.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Reality Reimagined: NVIDIA Introduces fVDB to Build Bigger Digital Models of the World

NVIDIA

NVIDIA announced at SIGGRAPH fVDB , a new deep-learning framework for generating AI-ready virtual representations of the real world. fVDB is built on top of OpenVDB , the industry-standard library for simulating and rendering sparse volumetric data such as water, fire, smoke and clouds. Generative physical AI , such as autonomous vehicles and robots that inhabit the real world, need to have “spatial intelligence” — the ability to understand and operate in 3D space.

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HyPO: A Hybrid Reinforcement Learning Algorithm that Uses Offline Data for Contrastive-based Preference Optimization and Online Unlabeled Data for KL Regularization

Marktechpost

A critical aspect of AI research involves fine-tuning large language models (LLMs) to align their outputs with human preferences. This fine-tuning ensures that AI systems generate useful, relevant, and aligned responses with user expectations. The current paradigm in AI emphasizes learning from human preference data to refine these models, addressing the complexity of manually specifying reward functions for various tasks.

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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

Millions of people already use generative AI to assist in writing and learning. Now, the technology can also help them more effectively navigate the physical world. NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

This post is co-authored by Daryl Martis and Darvish Shadravan from Salesforce. This is the fourth post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. In Part 1 and Part 2 , we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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NVIDIA Supercharges Digital Marketing With Greater Control Over Generative AI

NVIDIA

The world’s brands and agencies are using generative AI to create advertising and marketing content, but it doesn’t always provide the desired outputs. NVIDIA offers a comprehensive set of technologies — bringing together generative AI, NVIDIA NIM microservices, NVIDIA Omniverse and Universal Scene Description (OpenUSD) — to allow developers to build applications and workflows that enable brand-accurate, targeted and efficient advertising at scale.

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Harvey Enters Japan With Leading Law Firm Mori Hamada

Artificial Lawyer

Legal genAI pioneer Harvey has struck a deal with leading Japanese law firm Mori Hamada & Matsumoto (MHM), believed to be its first in the world’s fourth largest economy.

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Passwords Stored in Chrome Vanish for Millions of Windows Users

Extreme Tech

For 18 hours, credentials kept in Google Chrome's password manager were nowhere to be found.

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New NVIDIA Digital Human Technologies Enhance Customer Interactions Across Industries

NVIDIA

Generative AI is unlocking new ways for enterprises to engage customers through digital human avatars. At SIGGRAPH , NVIDIA previewed “James,” an interactive digital human that can connect with people using emotions, humor and more. James is based on a customer-service workflow using NVIDIA ACE , a reference design for creating custom, hyperrealistic, interactive avatars.

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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Apple Intelligence May Not Be Ready for iOS 18 Release

Extreme Tech

The AI features could, instead, arrive in a future version of iOS.

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Litera Buys FileTrail Info Governance Company

Artificial Lawyer

Litera has bought FileTrail, an information governance and records management company, for an undisclosed sum. US-based FileTrail is around 24 years old and works across.

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Recursive IntroSpEction (RISE): A Machine Learning Approach for Fine-Tuning LLMs to Improve Their Own Responses Over Multiple Turns Sequentially

Marktechpost

Large language models (LLMs) have gained significant attention as powerful tools for various tasks, but their potential as general-purpose decision-making agents presents unique challenges. To function effectively as agents, LLMs must go beyond simply generating plausible text completions. They need to exhibit interactive, goal-directed behavior to accomplish specific tasks.