Fri.Sep 20, 2024

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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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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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Pavlo Pikulin, Founder & CEO of Deus Robotics – Interview Series

Unite.AI

Pavlo Pikulin is the founder and CEO of Deus Robotics , which has developed an AI platform that connects and enhances the intelligence of warehouse robots from any manufacturer. The company also offers AI-powered robots that cover 90% of warehouse automation needs — and counting. With over 22 years of experience in AI and 6 years in robotics, Pavlo serves as an Expert on the Artificial Intelligence committee under Ukraine's Ministry of Digital Transformation.

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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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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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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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AI in Finance: How Palmyra-Fin is Redefining Market Analysis

Unite.AI

Artificial Intelligence (AI) is transforming industries worldwide and introducing new levels of innovation and efficiency. AI has become a powerful tool in finance that brings new approaches to market analysis, risk management, and decision-making. The financial market, known for its complexity and rapid changes, greatly benefits from AI's capability to process vast amounts of data and provide clear, actionable insights.

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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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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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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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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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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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CodeMaker AI Breakthrough in Software Development: Achieves 91% Accuracy in Recreating 90,000 Lines of Code, Setting a New Benchmark for AI-driven code Generation and Fine-Tuned Model

Marktechpost

In an era of AI-transforming industries, CodeMaker AI has achieved a landmark breakthrough by autonomously recreating a 90,000-line software library with an astounding 91% similarity to the original codebase. This achievement marks a significant shift in how AI can be utilized in software development, demonstrating the potential to reduce manual coding efforts and accelerate development timelines drastically.

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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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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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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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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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Diagram of Thought (DoT): An AI Framework that Models Iterative Reasoning in Large Language Models (LLMs) as the Construction of a Directed Acyclic Graph (DAG) within a Single Model

Marktechpost

Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. Chain-of-Thought (CoT) introduced articulated reasoning processes, while Tree-of-Thought (ToT) and Graph-of-Thought (GoT) expanded on this concept by incorporating branching possibilities and complex relationships between reasoning steps.

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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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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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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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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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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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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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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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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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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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g1: Using Llama-3.1 70b on Groq to Create o1-like Reasoning Chains

Marktechpost

While LLMs have shown promise in natural language processing, they often need help to perform multi-step reasoning and problem-solving, particularly in areas that require abstract thinking and drawing inferences from incomplete or fragmented information. The ability to reason effectively is crucial for LLMs to be truly useful in real-world applications.

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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning Blog

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock agents use the power of large language models (LLMs) to perform complex reasoning and action generation.

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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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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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Announcing GA of AI Model Sharing

databricks

Special thanks to Daniel Benito (CTO, Bitext), Antonio Valderrabanos(CEO, Bitext), Chen Wang (Lead Solution Architect, AI21 Labs), Robbin Jang (Alliance Manager, AI21 Labs).

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Efficient Long-Term Prediction of Chaotic Systems Using Physics-Informed Neural Operators: Overcoming Limitations of Traditional Closure Models

Marktechpost

Predicting the long-term behavior of chaotic systems, such as those used in climate modeling, is essential but requires significant computational resources due to the need for high-resolution spatiotemporal grids. One alternative to fully-resolved simulations (FRS) is to use coarse grids, with closure models correcting for errors by approximating the missing fine-scale information.