Sat.Sep 14, 2024 - Fri.Sep 20, 2024

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Walmart and Amazon drive retail transformation with AI

AI News

Walmart and Amazon are harnessing AI to drive retail transformation with new consumer experiences and enhanced operational efficiency. According to analytics firm GlobalData , Walmart is focusing on augmented reality and AI-enhanced store management. Amazon, meanwhile, is leading advancements in customer personalisation and autonomous systems. Kiran Raj, Practice Head of Disruptive Tech at GlobalData, notes: “Walmart and Amazon are no longer competing for market share alone.

Big Data 268
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The LLM Car: A Breakthrough in Human-AV Communication

Unite.AI

As autonomous vehicles (AVs) edge closer to widespread adoption, a significant challenge remains: bridging the communication gap between human passengers and their robotic chauffeurs. While AVs have made remarkable strides in navigating complex road environments, they often struggle to interpret the nuanced, natural language commands that come so easily to human drivers.

LLM 328
professionals

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A Comprehensive Guide to Building Multimodal RAG Systems

Analytics Vidhya

Introduction Retrieval Augmented Generation systems, better known as RAG systems, have become the de-facto standard for building intelligent AI assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of large language models (LLMs). One of the key advantages of RAG systems is you can easily integrate your own data and augment […] The post A Comprehensive Guide to Building Multimodal RAG Systems appeared first on Analytics Vidhya.

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Top 6 innovations from the IBM – AWS GenAI Hackathon

IBM Journey to AI blog

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries. Over the course of several weeks, cross-functional teams comprising client teams, IBM and AWS representatives worked to design, develop and iterate on prototypes that push the boundaries of what’s possible with gen

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Don't Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

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Alibaba Cloud unleashes over 100 open-source AI models

AI News

Alibaba Cloud has open-sourced more than 100 of its newly-launched AI models, collectively known as Qwen 2.5. The announcement was made during the company’s annual Apsara Conference. The cloud computing arm of Alibaba Group has also unveiled a revamped full-stack infrastructure designed to meet the surging demand for robust AI computing. This new infrastructure encompasses innovative cloud products and services that enhance computing, networking, and data centre architecture, all aimed at

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A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini

Analytics Vidhya

Introduction Recently, with the rise of large language models and AI, we have seen innumerable advancements in natural language processing. Models in domains like text, code, and image/video generation have archived human-like reasoning and performance. These models perform exceptionally well in general knowledge-based questions. Models like GPT-4o, Llama 2, Claude, and Gemini are trained on publicly […] The post A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini appeared fir

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Build a Real-Time AI Voice Bot Using Python, AssemblyAI, and ElevenLabs

AssemblyAI

AI voice bots are rapidly transforming how businesses handle customer interactions, with recent studies estimating that by 2025, 95% of customer service interactions will be managed by AI agents. For developers, this presents a significant opportunity to build intelligent, scalable solutions that improve the efficiency and user experience of customer interactions.

Python 260
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Tech industry giants urge EU to streamline AI regulations

AI News

Meta has spearheaded an open letter calling for urgent reform of AI regulations in the EU. The letter, which garnered support from over 50 prominent companies – including Ericsson , SAP , and Spotify – was published as an advert in the Financial Times. The collective voice of these industry leaders highlights a pressing issue: Europe’s bureaucratic approach to AI regulation may be stifling innovation and causing the region to lag behind its global counterparts. “Europe has become les

Big Data 269
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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

The race to dominate the enterprise AI space is accelerating with some major news recently. OpenAI’s ChatGPT now boasts over 200 million weekly active users , a increase from 100 million just a year ago. This incredible growth shows the increasing reliance on AI tools in enterprise settings for tasks such as customer support, content generation, and business insights.

LLM 246
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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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What is the Chinchilla Scaling Law?

Analytics Vidhya

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits. To address this, the Chinchilla Scaling Law, introduced by Hoffmann et al. in […] The post What is the Chinchilla Scaling Law?

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Introducing the AssemblyAI piece for Activepieces

AssemblyAI

We've been working with Activepieces to make AssemblyAI's Speech AI available to no-code and low-code builders. With the AssemblyAI piece for Activepieces , you can use AssemblyAI's models to transcribe audio with speech recognition models, analyze audio with audio intelligence models, and build generative features on top of audio with LLMs using LeMUR.

AI 193
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SolarWinds: IT professionals want stronger AI regulation

AI News

A new survey from SolarWinds has unveiled a resounding call for increased government oversight of AI, with 88% of IT professionals advocating for stronger regulation. The study, which polled nearly 700 IT experts, highlights security as the paramount concern. An overwhelming 72% of respondents emphasised the critical need for measures to secure infrastructure.

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Why data security is critical to AI

IBM Journey to AI blog

Data is the new oil. It fuels our economy and drives new technology—notably, generative AI. However, for AI to be widely adopted, it must be trustworthy and secure. As IBM’s latest Cost of a Data Breach Report shows, business disruptions push breach costs and regulatory fines to new heights, with the average cost of a data breach reaching USD 4.88 million.

AI 201
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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit

Analytics Vidhya

Introduction Have you ever wished you could simply chat with your database, asking questions in plain language and getting instant, relevant answers? Imagine the possibilities – no more complex SQL queries or digging through spreadsheets. Well, with the power of LangChain and its new SQL toolkit, that’s exactly what you can do! Diving into the […] The post Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit appeared first on Analytics Vidhya.

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AI-Powered Automated Pentesting: Protecting your Business from Cyber Attacks

Aiiot Talk

As technology and artificial intelligence advance in 2024 and beyond, cybersecurity threats will unfortunately keep pace. In a world where “deepfakes” are already hard to discern from real videos, businesses now need to up their game to defend against genuine (and hard to detect) virtual attacks. “ According to IBM, the global average cost of a data breach is a staggering $4.88 million making up-to-date cybersecurity measures imperative for businesses of all sizes.

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Non-fiction books that explore AI’s impact on society 

AI News

Artificial Intelligence (AI) is code or technologies that perform complex calculations, an area that encompasses simulations, data processing and analytics. AI has increasingly grown in importance, becoming a game changer in many industries, including healthcare, education and finance. The use of AI has been proven to double levels of effectiveness, efficiency and accuracy in many processes, and reduced cost in different market sectors.

Robotics 217
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AI, Sustainability, and Product Management in Global Logistics: Navigating the New Frontier

Unite.AI

Before we explore the sustainability aspect, let’s briefly recap how AI is already revolutionizing global logistics: Route Optimization AI algorithms are transforming route planning , going far beyond simple GPS navigation. For instance, UPS's ORION (On-Road Integrated Optimization and Navigation) system uses advanced algorithms to optimize delivery routes.

AI 162
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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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DataGemma: Grounding LLMs Against Hallucinations

Analytics Vidhya

Introduction Large Language Models are rapidly transforming industries—today, they power everything from personalized customer service in banking to real-time language translation in global communication. They can answer questions in natural language, summarize information, write essays, generate code, and much more, making them invaluable tools in today’s world.

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Driving value: The untapped potential of FSMA Rule 204(d) data

IBM Journey to AI blog

Complying with the regulations of the Food Safety Modernization Act (FSMA) is a monumental challenge. Food supply chains are complex, continent-spanning networks, complete with diverse data formats, disparate systems and varying levels of technological sophistication. However, as companies continue their efforts toward FSMA 204(d) compliance, there’s a hidden gem within it: data.

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Why GenAI is a Data Deletion and Privacy Nightmare

Cassie Kozyrkov

The clue you need to understand the LinkedIn OptIn scandal Continue reading on Towards Data Science »

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What the Launch of OpenAI’s o1 Model Tells Us About Their Changing AI Strategy and Vision

Unite.AI

OpenAI, the pioneer behind the GPT series, has just unveiled a new series of AI models, dubbed o1 , that can “think” longer before they respond. The model is developed to handle more complex tasks, particularly in science, coding, and mathematics. Although OpenAI has kept much of the model's workings under wraps, some clues offer insight into its capabilities and what it may signal about OpenAI's evolving strategy.

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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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How to Optimize Data Warehouse with STAR Schema?

Analytics Vidhya

Introduction The STAR schema is an efficient database design used in data warehousing and business intelligence. It organizes data into a central fact table linked to surrounding dimension tables. This star-like structure simplifies complex queries, enhances performance, and is ideal for large datasets requiring fast retrieval and simplified joins. A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema?

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Climate Week Forecast: Outlook Improving With AI, Accelerated Computing

NVIDIA

All the electricity that powers NVIDIA’s global operations will come from renewable sources by the end of January. It’s the right fuel for the company’s mission: to help customers and partners harness AI and accelerated computing for sustainable growth. This week, world leaders gather in New York City to mark Climate Week 2024. It’s a good time to take stock of recent gains in energy efficiency in fields from manufacturing and cloud computing to healthcare and beyond.

AI 138
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This AI Paper Introduces a Comprehensive Framework for LLM-Driven Software Engineering Tasks

Marktechpost

Software engineering integrates principles from computer science to design, develop, and maintain software applications. As technology advances, the complexity of software systems increases, creating challenges in ensuring efficiency, accuracy, and overall performance. Artificial intelligence, particularly using Large Language Models (LLMs), has significantly impacted this field.

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Babbel Review: Why It Beats Duolingo for Serious Learners

Unite.AI

Have you ever found yourself stumbling over words in a foreign language, embarrassment bubbling up as you struggle to express a simple thought? You're not alone. Did you know that 75% of English speakers worldwide are non-native ? Language learning can often feel like an uphill battle, whether it's the sinking feeling when you can't find the right word, the frustration of being misunderstood due to pronunciation, or the awkwardness of navigating unfamiliar cultural norms.

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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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Pixtral-12B: Mistral AI’s First Multimodal Model

Analytics Vidhya

Introduction Mistral has released its very first multimodal model, namely the Pixtral-12B-2409. This model is built upon Mistral’s 12 Billion parameter, Nemo 12B. What sets this model apart? It can now take both images and text for input. Let’s look more at the model, how it can be used, how well it’s performing the tasks […] The post Pixtral-12B: Mistral AI’s First Multimodal Model appeared first on Analytics Vidhya.

AI 289
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Medical Centers Tap AI, Federated Learning for Better Cancer Detection

NVIDIA

A committee of experts from top U.S. medical centers and research institutes is harnessing NVIDIA-powered federated learning to evaluate the impact of federated learning and AI-assisted annotation to train AI models for tumor segmentation. Federated learning is a technique for developing more accurate, generalizable AI models trained on data across diverse data sources without mitigating data security or privacy.

AI 127
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ByteDance Introduced Hierarchical Large Language Model (HLLM) Architecture to Transform Sequential Recommendations, Overcoming Cold-Start Challenges, and Enhancing Scalability with State-of-the-Art Performance

Marktechpost

Recommendation systems have become the foundation for personalized services across e-commerce, streaming, and social media platforms. These systems aim to predict user preferences by analyzing historical interactions, allowing platforms to suggest relevant items or content. The accuracy & effectiveness of these systems depends heavily on how well user and item characteristics are modeled.