Fri.Sep 06, 2024

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10 Business Applications of LLM Agents

Analytics Vidhya

Introduction Large language models or LLMs are a game-changer especially when it comes to working with content. From supporting summarization, translation, and generation, LLMs like GPT-4, Gemini, and Llama have made it simple to work with content and data. While these can be enough for us as individuals, companies need systems that produce actionable results […] The post 10 Business Applications of LLM Agents appeared first on Analytics Vidhya.

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Here’s What to Know About Ilya Sutskever’s $1B Startup SSI

Unite.AI

In a bold move that has caught the attention of the entire AI community, Safe Superintelligence (SSI) has burst onto the scene with a staggering $1 billion in funding. First reported by Reuters , this three-month-old startup, co-founded by former OpenAI chief scientist Ilya Sutskever, has quickly positioned itself as a formidable player in the race to develop advanced AI systems.

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How Can Prompt Engineering Transform LLM Reasoning Ability?

Analytics Vidhya

Introduction If you’ve worked with Large Language Models (LLMs), you’re likely familiar with the challenges of tuning them to respond precisely as desired. This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts. Despite being trained on vast datasets, LLMs can falter with nuanced or context-heavy queries, leading to […] The post How Can Prompt Engineering Transform LLM Reasoning Ability?

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AssemblyAI's C#.NET SDK + Latest Tutorials

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord 🚀 Introducing the AssemblyAI C#.NET SDK We are excited to introduce the  AssemblyAI.NET SDK , making it easier to use the latest Speech AI models from AssemblyAI with.NET languages like C#. Here are ways to use our.NET SDK:   Transcribe Audio and Video : Convert speech to text with high accuracy Identify Speakers : Automatically detect and lab

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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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Real-Time App Performance Monitoring with Apache Pinot

Analytics Vidhya

Introduction In today’s fast-paced software development environment, ensuring optimal application performance is crucial. Monitoring real-time metrics such as response times, error rates, and resource utilization can help maintain high availability and deliver a seamless user experience. Apache Pinot, an open-source OLAP datastore, offers the ability to handle real-time data ingestion and low-latency querying, making it […] The post Real-Time App Performance Monitoring with Apache Pinot ap

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Guide to Online Learning and Passive-Aggressive Algorithms

Analytics Vidhya

Introduction Data is being generated at an unprecedented rate from sources such as social media, financial transactions, and e-commerce platforms. Handling this continuous stream of information is a challenge, but it offers an opportunity to make timely and accurate decisions. Real-time systems, such as financial transactions, voice assistants, and health monitoring systems, rely on continuous […] The post Guide to Online Learning and Passive-Aggressive Algorithms appeared first on Analyti

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Refining Intelligence: The Strategic Role of Fine-Tuning in Advancing LLaMA 3.1 and Orca 2

Unite.AI

In today's fast-paced Artificial Intelligence (AI) world, fine-tuning Large Language Models (LLMs) has become essential. This process goes beyond simply enhancing these models and customizing them to meet specific needs more precisely. As AI continues integrating into various industries, the ability to tailor these models for particular tasks is becoming increasingly important.

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OLMoE-1B-7B and OLMoE-1B-7B-INSTRUCT Released: A Fully Open-Sourced Mixture-of-Experts LLM with 1B Active and 7B Total Parameters

Marktechpost

Large-scale language models have become integral to natural language processing (NLP) advancements, transforming how machines understand and generate human language. These models have demonstrated remarkable abilities in various tasks, such as text generation, translation, and question-answering. Their development has been fueled by the availability of massive datasets and the use of sophisticated algorithms, allowing them to process and respond in human-like ways.

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How Vidmob is using generative AI to transform its creative data landscape

AWS Machine Learning Blog

This post was co-written with Mickey Alon from Vidmob. Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Specifically, such data analysis can result in predicting trends and public sentiment while also personalizing customer journeys, ultimately leading to more effective marketing and driving business.

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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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Microsoft Research Suggests Energy-Efficient Time-Series Forecasting with Spiking Neural Networks

Marktechpost

Spiking Neural Networks (SNNs), a family of artificial neural networks that mimic the spiking behavior of biological neurons, have been in discussion in recent times. These networks provide a fresh method for working with temporal data, identifying the complex relationships and patterns seen in sequences. Though they have great potential, using SNNs for time-series forecasting comes with a special set of difficulties that have prevented their widespread use.

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Automation Tool Use Deviation from AI-Related Tools Confirms Possible AI Hype Cycle Focus on Automation; Trend Now Reversing

Towards AI

Last Updated on September 6, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. Trends suggest automation tools faced challenges during AI hype cycle TLDR: Automation tools (Zapier as an example) API public development declined (-13.1% y/y) until last month, while AI-related APIs have experienced steady growth (+12.0% y/y) during same timeframe.

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DriveGenVLM: Advancing Autonomous Driving with Generated Videos and Vision Language Models VLMs

Marktechpost

Integrating advanced predictive models into autonomous driving systems has become crucial for enhancing safety and efficiency. Camera-based video prediction emerges as a pivotal component, offering rich real-world data. Content generated by artificial intelligence is presently a leading area of study within the domains of computer vision and artificial intelligence.

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Qualcomm CEO Reveals Smart Glasses Partnership With Google and Samsung

Extreme Tech

CEO Cristiano Amon says the device will be an accessory for your phone, not a standalone headset.

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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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IBM Research Open-Sources Docling: An AI Tool for High-Precision PDF Document Conversion and Structural Integrity Maintenance Across Complex Layouts

Marktechpost

Document conversion, particularly from PDF to machine-processable formats, has long presented significant challenges due to PDF files’ diverse and often complex nature. These documents, widely used across various industries, frequently need more standardization, resulting in a loss of structural features when optimized for printing. This structural loss complicates the recovery process, as important elements such as tables, figures, and reading order can be misinterpreted or completely los

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5 Emerging AI Technologies That Will Shape the Future of Machine Learning

Machine Learning Mastery

Artificial intelligence is not just altering the way we interact with technology; it’s reshaping the very foundations of machine learning. As we stand on the brink of innovative breakthroughs, understanding emerging AI technologies becomes essential to grasp their profound implications on future applications and industries. This exploration is not merely academic—it’s a guide to influencing […] The post 5 Emerging AI Technologies That Will Shape the Future of Machine Lear

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OpenPerPlex: A New Open-Source AI Search Engine that Leverages Cutting-Edge Technologies to Provide Search Capabilities over the Web

Marktechpost

With the vast amount of online data, finding relevant information quickly can be a major challenge. Traditional search engines may not often provide precise and contextually accurate results, especially for complex queries or specific topics. Users frequently need help retrieving pertinent and useful information, which often leads to inefficiencies.

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Automation Tool Use Deviation from AI-Related Tools Confirms Possible AI Hype Cycle Focus on Automation; Trend Now Reversing

Towards AI

Last Updated on September 6, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. Trends suggest automation tools faced challenges during AI hype cycle TLDR: Automation tools (Zapier as an example) API public development declined (-13.1% y/y) until last month, while AI-related APIs have experienced steady growth (+12.0% y/y) during same timeframe.

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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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Snowflake AI Research Introduces Arctic-SnowCoder-1.3B: A New 1.3B Model that is SOTA Among Small Language Models for Code

Marktechpost

Machine learning models, especially those designed for code generation, heavily depend on high-quality data during pretraining. This field has seen rapid advancement, with large language models (LLMs) trained on extensive datasets containing code from various sources. The challenge for researchers is to ensure that the data used is abundant and of high quality, as this significantly impacts the model’s ability to handle complex tasks.

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Watch Live: Boeing's Troubled Starliner Will Leave the ISS Today

Extreme Tech

Starliner will return to Earth without crew, leaving astronauts Suni Williams and Butch Wilmore to wait for the next SpaceX Dragon.

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Legal Tech Investment + M&A Deals Up On H1 2023

Artificial Lawyer

The latest data from financial advisers Raymond James paints a positive picture for VC funding into legal tech compared to the first half of 2023, with more investment going into the sector, and mo…

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Massive, Ancient Asteroid May Have Smashed Into One of Jupiter's Moons

Extreme Tech

One researcher thinks the asteroid, which is thought to have hit Ganymede 4 billion years ago, was 20 times larger than the one that wiped out Earth's dinosaurs.

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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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How AI Is Personalizing Customer Service Experiences Across Industries

NVIDIA

Customer service departments across industries are facing increased call volumes, high customer service agent turnover, talent shortages and shifting customer expectations. Customers expect both self-help options and real-time, person-to-person support. These expectations for seamless, personalized experiences extend across digital communication channels, including live chat, text and social media.

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Detecting and Overcoming Perfect Multicollinearity in Large Datasets

Machine Learning Mastery

One of the significant challenges statisticians and data scientists face is multicollinearity, particularly its most severe form, perfect multicollinearity. This issue often lurks undetected in large datasets with many features, potentially disguising itself and skewing the results of statistical models. In this post, we explore the methods for detecting, addressing, and refining models affected by […] The post Detecting and Overcoming Perfect Multicollinearity in Large Datasets appeared f

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LLM Assisted Segmentation for Games

databricks

Segmentation projects are the cornerstone of personalization in games. Personalization of the player experience helps maximize player engagement, mitigate churn and increase player.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning Blog

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries. However, building and deploying such assistants with responsible AI best practices requires a robust ground truth and evaluation framework to make sure they meet

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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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Back to School: Fall 2024

NYU Center for Data Science

CDS is excited to welcome students back to campus for the Fall 2024 semester! As you prepare for the new academic year, we’ve compiled a list of valuable resources to help you navigate campus life and make the most of your time at NYU. Health and Wellness Resources Your well-being is our top priority. NYU offers comprehensive health services to support you throughout your academic journey: Student Health Center (SHC) : Provides medical services, counseling, and wellness programs.

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Nvidia RTX 5090 and 5080 Designs Will Be Finalized Soon, TDPs Lower Than Reported

Extreme Tech

Whether the cards will be launched in 2024 is still up in the air, though.

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How I Optimized Large-Scale Data Ingestion

databricks

Explore being a PM intern at a technical powerhouse like Databricks, learning how to advance data ingestion tools to drive efficiency.