Fri.Sep 20, 2024

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Popular LLM Agent Tools for Customer Query Management

Analytics Vidhya

Introduction Today, the world of customer query management is moving at an unprecedented pace, with new tools making headlines every day. Large language model (LLM) agents are the latest innovation in this context, boosting customer query management efficiently. They automate repetitive tasks with the help of LLM-powered chatbots, unlike typical customer query management.

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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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What is PaperQA and How Does it Assist in Scientific Research?

Analytics Vidhya

Introduction With the advancement of AI, scientific research has seen a massive transformation. Millions of papers are published annually on different technologies and sectors. But, navigating this ocean of information to retrieve accurate and relevant content is a herculean task. Enter PaperQA, a Retrieval-Augmented Generative (RAG) Agent designed to tackle this exact problem.

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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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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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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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Mastering Kaggle Competitions: Strategies, Techniques, and Insights for Success

Analytics Vidhya

Introduction In the world of data science, Kaggle has become a vibrant arena where aspiring analysts and seasoned professionals alike come to test their skills and push the boundaries of innovation. Picture this: a young data enthusiast, captivated by the thrill of competition, dives into a Kaggle challenge with little more than a curious mind […] The post Mastering Kaggle Competitions: Strategies, Techniques, and Insights for Success appeared first on Analytics Vidhya.

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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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A Comprehensive Guide on Replit Agent

Analytics Vidhya

Introduction Imagine developing apps with the same ease as a conversation. There would be no complicated development environments to set up and no need to look through configuration files. Converting concepts into valuable apps can be a daunting task for many people. Installing different dependencies, setting up databases, and closely monitoring deployments are all necessary.

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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 Medium »

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard

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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Rohan Rao’s Framework for Selecting the Right LLMs for Business Needs!

Analytics Vidhya

In this episode of Leading with Data, we dive into the fascinating world of data science with Rohan Rao, a Quadruple Kaggle Grandmaster and expert in machine learning solutions. Rohan shares insights on strategic partnerships, the evolution of data tools, and the future of large language models, shedding light on the challenges and innovations shaping […] The post Rohan Rao’s Framework for Selecting the Right LLMs for Business Needs!

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This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities

Marktechpost

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. These models aim to bridge the gap between natural language understanding and visual comprehension, allowing machines to cohesively process various forms of input, from text documents to images. Understanding and reasoning across multiple modalities is becoming crucial, especially as AI moves towards more sophisticated applications in areas like i

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Pixtral 12B vs Qwen2-VL-72B: Which is Better for Image Generation?

Analytics Vidhya

Introduction The AI revolution has given rise to a new era of creativity, where text-to-image models are redefining the intersection of art, design, and technology. Pixtral 12B and Qwen2-VL-72B are two pioneering forces driving this transformation, enabling the seamless conversion of text prompts into stunning visuals that captivate, inspire, and inform.

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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.

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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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Samsung Announces 4TB PCIe Gen 5 SSD With 14.5GB/s Read Speeds

Extreme Tech

Samsung says the PM9E1 is designed to boost on-device AI performance, which laptop makers are beginning to implement with the new incoming Copilot+ PCs.

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Sketch: An Innovative AI Toolkit Designed to Streamline LLM Operations Across Diverse Fields

Marktechpost

Large language models (LLMs) have made significant leaps in natural language processing, demonstrating remarkable generalization capabilities across diverse tasks. However, due to inconsistent adherence to instructions, these models face a critical challenge in generating accurately formatted outputs, such as JSON. This limitation poses a significant hurdle for AI-driven applications requiring structured LLM outputs integrated into their data streams.

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From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis

Machine Learning Mastery

Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows you to explore and understand your data better. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow. What is Exploratory Data Analysis? […] The post From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis appeared first on MachineLearningMastery.com.

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MMSearch Engine: AI Search with Advanced Multimodal Capabilities to Accurately Process and Integrate Text and Visual Queries for Enhanced Search Results

Marktechpost

Traditional search engines have predominantly relied on text-based queries, limiting their ability to process and interpret the increasingly complex information found online today. Many modern websites feature both text and images. Yet, the ability of conventional search engines to handle these multimodal queries, those that require an understanding of both visual and textual content, remains lacking.

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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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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.

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Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning

Marktechpost

Efficient optimization of large-scale deep learning models remains a significant challenge as the cost of training large language models (LLMs) continues to escalate. As models grow larger, the computational burden and time required for training increase substantially, creating a demand for more efficient optimizers that can reduce both training time and resources.

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Thinking Inside the Box: How to Solve the Bin Packing Problem with Ray on Databricks

databricks

Introduction The bin packing problem is a classic optimization challenge that has far-reaching implications for enterprise organizations across industries. At its core, the.

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Researchers Develop Sun-Powered Catalyst to Turn Greenhouse Gases Into Fuel

Extreme Tech

Their work could reduce the amount of carbon dioxide and methane released into the atmosphere while producing useful industrial material.

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11 KPIs for Measuring Innovation Success

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

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Decision Trees and Ordinal Encoding: A Practical Guide

Machine Learning Mastery

Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets.

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Salesforce AI Research Unveiled SFR-RAG: A 9-Billion Parameter Model Revolutionizing Contextual Accuracy and Efficiency in Retrieval Augmented Generation Frameworks

Marktechpost

Generative AI has emerged as a pivotal field with the rise of large language models (LLMs). These models are capable of producing complex outputs based on a variety of prompts. One notable area within this domain is Retrieval Augmented Generation (RAG), which integrates external information into LLMs to enhance factual accuracy. RAG specifically addresses the need to produce reliable, contextually relevant information.

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Build a generative AI assistant to enhance employee experience using Amazon Q Business

AWS Machine Learning Blog

In today’s fast-paced business environment, organizations are constantly seeking innovative ways to enhance employee experience and productivity. There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Additionally, with the rise of remote and hybrid work models, traditional support systems such as IT Helpdesks and HR might struggle to keep up with the increased demand fo

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AMD's Strix Halo Zen 5 Mobile Chips to Offer Massive iGPU With 40 CUs

Extreme Tech

The company will be taking on Apple's M-Series Max CPUs and might also adopt the name.

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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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Comprehensive Evaluation of Quantized Instruction-Tuned LLMs: Exploring Quantization Methods for Models Ranging from 7B to 405B Parameters

Marktechpost

Large Language Models (LLMs) have gained significant attention due to their impressive performance, with the release of Llama 3.1 in July 2024 being a notable example. However, deploying these models in resource-constrained environments poses significant challenges due to their huge parameter count. Low-bit quantization has emerged as a popular technique to compress LLMs, reducing memory and computational demands during inference.

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Report: Nvidia to Cease Production of the Vaunted RTX 4090 GPU

Extreme Tech

Nvidia is reportedly starting to wind down RTX 4090 production to make way for its successor.

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Reflecting on learning as both a student and an educator

SAS Software

This article was written based on an interview. Exploring SAS courses: thoughts on my learning journey My journey started with programming eLearning courses that got me hooked and curious about a wide range of topics. These online lessons were great because they were short and focused on technical stuff. But [.] The post Reflecting on learning as both a student and an educator appeared first on SAS Blogs.

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