Mon.Jul 29, 2024

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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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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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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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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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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 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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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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The exponential expenses of AI development

AI News

Tech giants like Microsoft, Alphabet, and Meta are riding high on a wave of revenue from AI-driven cloud services, yet simultaneously drowning in the substantial costs of pushing AI’s boundaries. Recent financial reports paint a picture of a double-edged sword: on one side, impressive gains; on the other, staggering expenses. This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolu

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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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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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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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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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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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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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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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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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‘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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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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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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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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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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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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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.

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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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This AI Paper from Stanford Provides New Insights on AI Model Collapse and Data Accumulation

Marktechpost

Large-scale generative models like GPT-4, DALL-E, and Stable Diffusion have transformed artificial intelligence, demonstrating remarkable capabilities in generating text, images, and other media. However, as these models become more prevalent, a critical challenge emerges the consequences of training generative models on datasets containing their outputs.

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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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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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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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Meet Mem0: The Memory Layer for Personalized AI that Provides an Intelligent, Adaptive Memory Layer for Large Language Models (LLMs)

Marktechpost

In the digital age, personalized experiences have become essential. Whether in customer support, healthcare diagnostics, or content recommendations, people expect interactions with technology to be tailored to their specific needs and preferences. However, creating a truly personalized experience can be challenging. Traditional AI systems cannot often remember and adapt based on past interactions, resulting in generic and less effective responses.

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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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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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Opslane: An Open-Source Tool that Helps Teams Reduce Alert Fatigue, Streamline Incident Response, and Boost Team Morale

Marktechpost

The notorious middle-of-the-night unactionable alert is well known to those on-call, adding to the stress that on-call engineers endure. It is still difficult to tell when something has gone wrong, how it has affected the user, and how to correct it fast, even with contemporary technologies. Examining an alert alone makes it difficult to grasp the full scope of the consumer and company impact.

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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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Neural Magic Releases Fully Quantized FP8 Version of Meta’s Llama 3.1 405B Model: FP8 Dynamic Quantization and FP8 Static Quantization

Marktechpost

Neural Magic has recently announced a significant breakthrough in AI model compression, introducing a fully quantized FP8 version of Meta’s Llama 3.1 405B model. This achievement marks a milestone in AI, allowing the massive 405 billion parameter model to fit seamlessly on any 8xH100 or 8xA100 system without the common out-of-memory (OOM) errors typically encountered with the original FP8 and FP16 versions.

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