Sat.Oct 21, 2023 - Fri.Oct 27, 2023

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Empower Multiple Websites with Langchain’s Chatbot Solution

Analytics Vidhya

Introduction In the revolutionary era of AI, conversational agents or chatbots have emerged as pivotal tools for engaging users, assisting, and enhancing user experience across various digital platforms. Chatbots powered by advanced AI techniques enable automated and interactive conversations that resemble human interactions. With the launch of ChatGPT, the ability to answer user queries has […] The post Empower Multiple Websites with Langchain’s Chatbot Solution appeared first on An

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Neural Networks Achieve Human-Like Language Generalization

Unite.AI

In the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a significant milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development is not just a step, but a giant leap towards bridging the gap between human cognition and AI capabilities.

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3 ways to migrate and deploy IBM Maximo on AWS Cloud

IBM Journey to AI blog

A recent IDC report — The Business Value of IBM Maximo — that surveyed 9 companies with an average of 8,500 employees, found that after these companies adopted IBM Maximo, it resulted in: a business benefit of approximately USD 14.6 million, on average, per year per organization; 43% less unplanned downtime per year; and USD 8.6 million in total equipment cost avoidances annually.

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Nightshade ‘poisons’ AI models to fight copyright theft

AI News

University of Chicago researchers have unveiled Nightshade , a tool designed to disrupt AI models attempting to learn from artistic imagery. The tool – still in its developmental phase – allows artists to protect their work by subtly altering pixels in images, rendering them imperceptibly different to the human eye but confusing to AI models. Many artists and creators have expressed concern over the use of their work in training commercial AI products without their consent.

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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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How to Optimize Revenues Using Dynamic Pricing?

Analytics Vidhya

Introduction Uber/Ola peak hour prices are higher than regular fares. In IRCTC, Rajdhani prices increase are booking rate increases, and in Amazon, prices for the exact product change multiple times. Who decides when to change these prices or to what extent? Who decides the right price at the right time? The answers to these questions […] The post How to Optimize Revenues Using Dynamic Pricing?

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3 keys to building a robust hybrid cloud risk strategy

IBM Journey to AI blog

Hybrid cloud has become the new normal for enterprises in nearly all industries. Many enterprises have also deployed a hybrid multicloud environment that’s reliant on an ecosystem of different cloud service providers. 71% of executives think it’s difficult to realize the full potential of a digital transformation without having a solid hybrid cloud strategy in place. [1] Managing complex business operations across a hybrid multicloud environment presents leaders with unique challenge

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UK paper highlights AI risks ahead of global Safety Summit

AI News

The UK Government has unveiled a comprehensive paper addressing the capabilities and risks associated with frontier AI. UK Prime Minister Rishi Sunak has spoken today on the global responsibility to confront the risks highlighted in the report and harness AI’s potential. Sunak emphasised the need for honest dialogue about the dual nature of AI: offering unprecedented opportunities, while also posing significant dangers.

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The Power of Advanced Encoders and Decoders in Generative AI

Analytics Vidhya

Introduction In the dynamic realm of Artificial Intelligence, the fusion of technology and creativity has birthed innovative tools that push the boundaries of human imagination. Among these pioneering advancements lies the sophisticated world of Encoders and Decoders in Generative AI. This evolution revolutionises how we create, interpret, and interact with art, language, and even reality. […] The post The Power of Advanced Encoders and Decoders in Generative AI appeared first on Analytics

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LlamaIndex: Augment your LLM Applications with Custom Data Easily

Unite.AI

Large language models (LLMs) like OpenAI's GPT series have been trained on a diverse range of publicly accessible data, demonstrating remarkable capabilities in text generation, summarization, question answering, and planning. Despite their versatility, a frequently posed question revolves around the seamless integration of these models with custom, private or proprietary data.

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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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Unified Endpoint Management vs. device lifecycle management: what do they have in common?

IBM Journey to AI blog

It is a new day for James, a new IT administrator. Today, he has to figure out an order for a whole batch of mobile devices for his colleagues, who have chosen both iOS and Android smartphones. He needs to activate the device lifecycle program and do all the deployment and endpoint security tasks afterward. Most probably, in another tool. He also knows that Rich from Sales and Alyssa from Finance will leave the company on Friday, so he needs to wipe the devices.

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Bob Briski, DEPT®:  A dive into the future of AI-powered experiences

AI News

AI News caught up with Bob Briski, CTO of DEPT® , to discuss the intricate fusion of creativity and technology that promises a new era in digital experiences. At the core of DEPT®’s approach is the strategic utilisation of large language models. Briski articulated the delicate balance between the ‘pioneering’ and ’boutique’ ethos encapsulated in their tagline, “pioneering work on a global scale with a boutique culture.” While ‘pioneering’ and

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Doctran and LLMs: A Powerful Duo for Analyzing Consumer Complaints

Analytics Vidhya

Introduction In today’s highly competitive market, businesses strive to understand and resolve consumer complaints effectively. Consumer complaints can shed light on a wide range of issues from product defects and poor customer service to billing errors and safety concerns. They play a crucial role in the feedback (regarding products, services, or experiences) loop between businesses […] The post Doctran and LLMs: A Powerful Duo for Analyzing Consumer Complaints appeared first on Ana

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Aaron Lee, Co-Founder & CEO at Smith.ai – Interview Series

Unite.AI

Aaron Lee, is the Co-Founder and CEO at Smith.ai , a platform that combines AI and human intelligence to offer 24/7 customer engagement with live North America-based agents to capture and convert more leads. Aaron is also the Ex-CTO of The Home Depot and co-founder of Redbeacon, which was acquired by Home Depot in 2012. He is a founding engineer on Google Video & led YouTube monetization.

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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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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes.

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Deutsche Telekom and SK Telecom partner on telco-focused LLM

AI News

SK Telecom and Deutsche Telekom have officially inked a Letter of Intent (LOI) to collaborate on developing a specialised LLM (Large Language Model) tailored for telecommunication companies. This momentous agreement – signed in a ceremony at SK Seorin Building, Seoul – marks the culmination of discussions initiated by the Global Telco AI Alliance, a consortium launched in July 2023 by SK Telecom, Deutsche Telekom, E&, and Singtel.

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The Impact of Large Language Models on Medical Text Analysis

Analytics Vidhya

Introduction In a world undergoing a technological revolution, the fusion of artificial intelligence and healthcare is reshaping the landscape of medical diagnosis and treatment. One of the silent heroes behind this transformation is the application of Large Language Models (LLMs) in the field of medical , health domain and mainly in text analysis. This article […] The post The Impact of Large Language Models on Medical Text Analysis appeared first on Analytics Vidhya.

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Revolutionizing Robot Learning: NVIDIA’s Eureka Aces Complex Tasks

Unite.AI

In a world where technology is ever-evolving, NVIDIA once again demonstrates its prowess with a groundbreaking advancement: the Eureka AI agent. This cutting-edge tool isn't just any AI model – it’s transforming the realm of robotics, equipping them with the capacity to master intricate tasks that were once deemed too complex. Imagine a robot performing rapid pen-spinning tricks with the finesse and dexterity of a human.

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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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Is impostor syndrome the result of skipping an important step?

Cassie Kozyrkov

Why the beginner phase matters and how to do it right Continue reading on Medium »

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Sweeping new Biden order aims to alter the AI landscape

Flipboard

The White House is poised to make an all-hands effort to impose national rules on a fast-moving technology, according to a draft executive order President Joe Biden will deploy numerous federal agencies to monitor the risks of artificial intelligence and develop new uses for the technology while …

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How to Build a Multi-Modal Search App with Chroma?

Analytics Vidhya

Introduction Have you ever wondered how our intricate brains process the world? While the brain’s inner workings remain a mystery, we can liken it to a versatile neural network. Thanks to electrochemical signals, it handles various data types – audio, visuals, smells, tastes, and touch. As AI advances, multi-modal models emerge, revolutionizing search capabilities.

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LoRa, QLoRA and QA-LoRA: Efficient Adaptability in Large Language Models Through Low-Rank Matrix Factorization

Unite.AI

Large Language Models (LLMs) have carved a unique niche, offering unparalleled capabilities in understanding and generating human-like text. The power of LLMs can be traced back to their enormous size, often having billions of parameters. While this huge scale fuels their performance, it simultaneously births challenges, especially when it comes to model adaptation for specific tasks or domains.

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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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Is impostor syndrome the result of skipping an important step?

Cassie Kozyrkov

Why the beginner phase matters and how to do it right Continue reading on The Startup »

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An AI revolution is brewing in medicine. What will it look like?

Flipboard

Emerging generalist models could overcome some limitations of first-generation machine-learning tools for clinical use. Emerging generalist models could overcome some limitations of first-generation machine-learning tools for clinical use.

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14 Exciting Python Project Ideas & Topics for Beginners

Analytics Vidhya

Python is an indispensable tool for data science professionals, playing a pivotal role in data analysis, machine learning, and scientific computing. Whether you’re a novice or an experienced practitioner, enhancing your Python programming skills is an ongoing journey. This article is your gateway to 14 exciting Python project ideas, each carefully crafted to cater to […] The post 14 Exciting Python Project Ideas & Topics for Beginners appeared first on Analytics Vidhya.

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Uni3D: Exploring Unified 3D Representation at Scale

Unite.AI

Scaling up representations of text and visuals has been a major focus of research in recent years. Developments and research conducted in the recent past have led to numerous revolutions in language learning and vision. However, despite the popularity of scaling text and visual representations, the scaling of representations for 3D scenes and objects has not been sufficiently discussed.

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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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A New AI Study from MIT Shows How Deep Neural Networks Don’t See the World the Way We Do

Marktechpost

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. As highlighted in recent studies, including one conducted by a team of scientists, artificial neural networks designed to mimic the various functions of the human visual and auditory systems often exhibit invariances that do not align with those found in

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The employees secretly using AI at work

Flipboard

Some employers are either tacitly or outright banning access to generative AI tools like ChatGPT. But employees who love them are finding ways to discreetly backchannel. Since OpenAI launched ChatGPT in November 2022, companies have scrambled to keep its workplace use under control.

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Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries. Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Now, different models require different explanation methods, depending on the audience.