Tue.Jul 23, 2024

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Reading Your Mind: How AI Decodes Brain Activity to Reconstruct What You See and Hear

Unite.AI

The idea of reading minds has fascinated humanity for centuries, often seeming like something from science fiction. However, recent advancements in artificial intelligence (AI) and neuroscience bring this fantasy closer to reality. Mind-reading AI, which interprets and decodes human thoughts by analyzing brain activity, is now an emerging field with significant implications.

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What is the Reverse Diffusion Process?

Analytics Vidhya

Introduction Stable diffusion is a powerful (generative model) tool to create high-quality images from noise. Stable diffusion consists of two steps: a forward diffusion process and a reverse diffusion process. In the forward diffusion process, noise is progressively added to an image, effectively degrading its quality. This step is crucial for training the model, as […] The post What is the Reverse Diffusion Process?

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Meta releases new Llama 3.1 models, including highly anticipated 405B parameter variant

IBM Journey to AI blog

On Tuesday, July 23, Meta announced the launch of the Llama 3.1 collection of multilingual large language models (LLMs). Llama 3.1 comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. The instruction-tuned Llama 3.1-405B, which figures to be the largest and most powerful open source language model available today and competitive with the best proprietary models on the market, will

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How to Use PyVista for Interactive 3D Medical Visualizations

Analytics Vidhya

Introduction Imagine being a medical student needing to visualize complex anatomical structures or a data scientist creating interactive 3D models. PyVista offers the precision and interactivity required to make these tasks engaging and insightful. We’ll start by exploring PyVista’s features and installation, then create stunning human anatomy visualizations, such as the brain, chest, and whole […] The post How to Use PyVista for Interactive 3D Medical Visualizations appeared f

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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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OpenResearch reveals potential impacts of universal basic income

AI News

A study conducted by OpenResearch has shed light on the transformative potential of universal basic income (UBI). The research aimed to “learn from participants’ experiences and better understand both the potential and the limitations of unconditional cash transfers.” The study – which provided participants with an extra $1,000 per month – revealed significant impacts across various aspects of recipients’ lives, including health, spending habits, employment, personal agen

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Optimizing LLM Deployment: vLLM PagedAttention and the Future of Efficient AI Serving

Unite.AI

Large Language Models (LLMs) deploying on real-world applications presents unique challenges, particularly in terms of computational resources, latency, and cost-effectiveness. In this comprehensive guide, we'll explore the landscape of LLM serving, with a particular focus on vLLM (vector Language Model), a solution that's reshaping the way we deploy and interact with these powerful models.

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How to Run LLM Locally Using LM Studio?

Analytics Vidhya

Introduction Recent software and hardware advancements have opened up exciting possibilities, making running large language models (LLMs) on personal computers feasible. One fantastic tool that makes this easier is LM Studio. In this article, we’ll dive into how to run an LLM locally using LM Studio. We’ll walk through the essential steps, explore potential challenges, […] The post How to Run LLM Locally Using LM Studio?

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Self-service that delights customers: How the IBM Partner Ecosystem is harnessing generative AI assistants in the banking and financial sectors

IBM Journey to AI blog

Thanks to the transformative benefits promised by generative artificial intelligence (AI), the banking and financial sectors are at a turning point. From redefining a bank’s competitive edge in customer relationships to streamlining core banking operations and strengthening cyber-resiliency, AI technologies can unlock numerous new capabilities.

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Creating a QA Model with Universal Sentence Encoder and WikiQA

Analytics Vidhya

Introduction In an era where information is at our fingertips, the ability to ask a question and receive a precise answer has become crucial. Imagine having a system that understands the intricacies of language and delivers accurate responses to your queries in an instant. This article explores how to build such a powerful question-answer model […] The post Creating a QA Model with Universal Sentence Encoder and WikiQA appeared first on Analytics Vidhya.

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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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What the Looming Worker Exodus Means for Network Security & How Organizations Can Respond

Unite.AI

Every professional can relate to the feeling of watching an older, highly experienced coworker retire. While it’s often a happy occasion to celebrate the contributions, an individual brought to a company, the gulf of skill and knowledge that person leaves can be intimidating to fill. Many businesses today are all too familiar with this retirement trend – especially in developed and Western nations – as more individuals from older generations continue to leave the workforce.

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How to Build Autonomous AI Agents Using OpenAGI?

Analytics Vidhya

Introduction Imagine having an assistant who’s always at your fingertips, ready to help at any moment. That’s what an AI agent offers. Unlike your human assistant, who needs coffee breaks and rest, an AI agent is tireless, working around the clock to support you. Need to schedule a meeting at the last minute? Done. Looking […] The post How to Build Autonomous AI Agents Using OpenAGI?

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Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

databricks

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

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How to Perform Computer Vision Tasks with Florence-2

Analytics Vidhya

Introduction The introduction of the original transformers paved the way for the current Large Language Models. Similarly, after the introduction of the transformer model, the vision transformer (ViT) was introduced. Like the transformers which excel at understanding text and generating text given a response, vision transformer models were developed to understand images and provide information […] The post How to Perform Computer Vision Tasks with Florence-2 appeared first on Analytics Vid

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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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Yandex Introduces TabReD: A New Benchmark for Tabular Machine Learning

Marktechpost

In recent years, research on tabular machine learning has grown rapidly. Yet, it still poses significant challenges for researchers and practitioners. Traditionally, academic benchmarks for tabular ML have not fully represented the complexities encountered in real-world industrial applications. Most available datasets either lack the temporal metadata necessary for time-based splits or come from less extensive data acquisition and feature engineering pipelines compared to common industry ML prac

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Nikhil Mishra’s Journey to Becoming a Kaggle Grandmaster

Analytics Vidhya

Introduction Have you ever participated in a Kaggle competition? Have you ever wondered what it takes to win one or to become a Kaggle Grandmaster? H2O.ai’s Senior Data Scientist, Nikhil Kumar Mishra, recently achieved the Kaggle Grandmaster title with his 5th Gold in competitions. He spoke to Analytics Vidhya following the win to share with […] The post Nikhil Mishra’s Journey to Becoming a Kaggle Grandmaster appeared first on Analytics Vidhya.

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A New Standard in Open Source AI: Meta Llama 3.1 on Databricks

databricks

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

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7 Ways to Employ LangChain Text Splitters for Enhanced Data Processing

Analytics Vidhya

Introduction In our previous article about LangChain Document Loaders, we explored how LangChain’s document loaders facilitate loading various file types and data sources into an LLM application. Can we send the data to the LLM now? Not so fast. LLMs have limits on context window size in terms of token numbers, so any data more […] The post 7 Ways to Employ LangChain Text Splitters for Enhanced Data Processing appeared first on Analytics Vidhya.

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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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The Mathematics of Small Things: On Grokking and The Double Descent Phenomenon

Towards AI

Last Updated on July 23, 2024 by Editorial Team Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Robert Thiemann on Unsplash The Conundrum — To Overfit or Generalize? So here’s the thing when training a model — you are often advised never to overfit. Somehow it makes sense because overfitting is when a model’s algorithm learns its training data so well that it fails to make accurate predictions on new, unseen data.

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Google AI Introduces NeuralGCM: A New Machine Learning (ML) based Approach to Simulating Earth’s Atmosphere

Marktechpost

General circulation models (GCMs) form the backbone of weather and climate prediction, leveraging numerical solvers for large-scale dynamics and parameterizations for smaller-scale processes like cloud formation. Despite continuous improvements, GCMs face significant challenges, including persistent errors, biases, and uncertainties in long-term climate projections and extreme weather events.

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Let us Look at Change Detection and Machine Learning.

Towards AI

Last Updated on July 24, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Let me ask you a question: have you ever visited your old childhood neighborhood and been stunned by the changes it has undergone, it looks unrecognizable. Probably while you were growing up it was an old abandoned street with few buildings and malls, but now it has become a commercial hub buzzing with activities.

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WTU-Eval: A New Standard Benchmark Tool for Evaluating Large Language Models LLMs Usage Capabilities

Marktechpost

Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. This challenge is particularly relevant in real-world applications where LLMs must fetch real-time data, perform complex calculations, or interact with APIs to complete tasks accurately.

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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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How NVIDIA AI Foundry Lets Enterprises Forge Custom Generative AI Models

NVIDIA

Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives. Just as TSMC manufactures chips designed by other companies, NVIDIA AI Foundry provides the infrastructure and tools for other companies to develop and customize AI models — using DGX Cloud

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Meet ZeroPath: A GitHub App that Detects, Verifies, and Issues Pull Requests for Security Vulnerabilities in Your Code

Marktechpost

Securing their products is a challenge for businesses. Teams are inundated with false positives from current Static Application Security Testing (SAST) technologies, and those identifying vulnerabilities cannot be fixed. Meet ZeroPath , a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code. The ZeroPath tool not only automatically identifies vulnerabilities in your code but also confirms them and provides solutions to fix them.

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Top Important Computer Vision Papers for the Week from 15/07 to 21/07

Towards AI

Last Updated on July 23, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition.

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PILOT: A New Machine Learning Algorithm for Linear Model Trees that is Fast, Regularized, Stable, and Interpretable

Marktechpost

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear model trees faced interpretability challenges when incorporating linear models in leaf nodes. The research emphasized the need for algorithms combining decision tree interpretability with accurate linear relationship modeling.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Low-cost, Low-latency, Customizable Chatbots for Your Websites and Web Apps Using GPT-4o mini

Towards AI

Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Spend fractions of cents per user interaction and make them fast and efficient, providing a fluent experience Look at the following conversation. It’s me trying out my website’s chatbot after upgrading it to GPT-4o mini, which made it faster and cheaper to operate: Want to try it out?

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Merlinn: An Open-Source LLM-Powered-On-Call Copilot AI Engineer that Automatically Listens to Production Incidents and Resolves It for You

Marktechpost

On-call shifts can be very stressful for engineers. When something goes wrong in a system, the person on call has to figure out the problem and fix it quickly. This often means going through lots of logs and data, which takes time and can be challenging, especially during off-hours. Getting to the root cause of a problem is crucial, but it’s not always easy.

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5 Challenges in Machine Learning Adoption and How to Overcome Them

Machine Learning Mastery

Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation, the applications of machine learning are vast. However, adopting machine learning solutions is not without challenges. These challenges span across data quality, technical complexities, infrastructure requirements, and cost constraints amongst others.