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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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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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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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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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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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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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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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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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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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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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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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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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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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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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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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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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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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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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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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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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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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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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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Altered AI Review: Using AI for Real-Time Voice Morphing

Unite.AI

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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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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Behind AI #24: How to Tokenize Text in Python

Artificial Corner

Photo by Laurentiu Iordache on Unsplash Tokenization is a common task we have when working with text data. It consists of splitting an entire text into small units, also known as tokens. Most Natural Language Processing (NLP) projects have tokenization as the first step because it’s the foundation for developing good models and helps us better understand the text we have.

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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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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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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

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Intel to Offer Panther Lake Mobile With 18 Cores, 12 Celestial iGPU Cores: Rumor

Extreme Tech

The successor to Lunar Lake is shaping up to be much more potent.

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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.

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Weight Scope Alignment Method that Utilizes Weight Scope Regularization to Constrain the Alignment of Weight Scopes during Training

Marktechpost

Model fusion involves merging multiple deep models into one. One intriguing potential benefit of model interpolation is its potential to enhance researchers’ understanding of the features of neural networks’ mode connectivity. In the context of federated learning, intermediate models are typically sent across edge nodes before being merged on the server.