Thu.Sep 12, 2024

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o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems

Analytics Vidhya

Have you heard the big news? OpenAI just rolled out preview of a new series of AI models – OpenAI o1 (also known as Project Strawberry/Q*). These models are special because they spend more time “thinking” before they give you an answer. That means they’re better at tackling really tough problems in areas like science, […] The post o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems appeared first on Analytics Vidhya.

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AI’s role in helping to prevent skin cancer through behaviour change

AI News

In the past year, we’ve seen remarkable achievements across AI-assisted cancer diagnosis as more and more clinicians test, use and integrate AI companions into daily practice. Skin cancer is no exception, and we expect AI diagnostic tools to be widely implemented across this clinical arena in the future. What does AI assistance look like for skin cancer?

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How to Access OpenAI o1?

Analytics Vidhya

Introduction Strawberry is out in the market!!! I hope this will be as fruitful as the recent advancements in artificial intelligence brought by other OpenAI’s latest models. We have been waiting for GPT-5 for so long, and now OpenAI has released its fact-checking and high reasoning model—OpenAI o1, with a code name of Strawberry. This […] The post How to Access OpenAI o1?

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AI News Weekly - Issue #403: AI Stocks: The 10 Best AI Companies - Sep 12th 2024

AI Weekly

Powered by dotai.io Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News AI Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. In recent years, the world has gotten a firsthand look at remarkable advances in AI technology, including OpenAI's ChatGPT AI chatbot, GitHub's Copilot AI code generation software and Googl

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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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Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge. Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhy

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PromeAI Review: Turning Simple Sketches into Stunning Images

Unite.AI

As a creative professional, have you ever stared at a sketch, knowing its potential yet dreading the hours of refining it into a polished design? You’re not alone! Many designers struggle with balancing systematic approaches and creativity in product design , especially in startup environments. PromeAI helps automate tedious design tasks, allowing designers to focus on creativity.

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How LLM Agents are Reshaping Workplace?

Analytics Vidhya

Introduction Large language model (LLM) agents are the latest innovation boosting workplace business efficiency. They automate repetitive activities, boost collaboration, and provide useful insights across departments. Unlike typical task automation, LLM agents can also interpret and generate human-like text. This makes them suitable for various domains, including software development, quality analysis, human resources, marketing, finance, […] The post How LLM Agents are Reshaping Workplac

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Data-Centric AI: The Importance of Systematically Engineering Training Data

Unite.AI

Over the past decade, Artificial Intelligence (AI) has made significant advancements, leading to transformative changes across various industries, including healthcare and finance. Traditionally, AI research and development have focused on refining models, enhancing algorithms, optimizing architectures, and increasing computational power to advance the frontiers of machine learning.

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Fine-tuning & Inference of Small Language Models like Gemma

Analytics Vidhya

Introduction Imagine you’re building a medical chatbot, and the massive, resource-hungry large language models (LLMs) seem like overkill for your needs. That’s where Small Language Models (SLMs) like Gemma come into play. In this article, we explore how SLMs can be your perfect solution for focused, efficient AI tasks. From understanding what makes Gemma unique […] The post Fine-tuning & Inference of Small Language Models like Gemma appeared first on Analytics Vidhya.

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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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DPAD Algorithm Enhances Brain-Computer Interfaces, Promising Advancements in Neurotechnology

Unite.AI

The human brain, with its intricate network of billions of neurons, constantly buzzes with electrical activity. This neural symphony encodes our every thought, action, and sensation. For neuroscientists and engineers working on brain-computer interfaces (BCIs), deciphering this complex neural code has been a formidable challenge. The difficulty lies not just in reading brain signals, but in isolating and interpreting specific patterns amidst the cacophony of neural activity.

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What is Graph of Thought in Prompt Engineering?

Analytics Vidhya

Introduction In prompt engineering, “Graph of Thought” refers to a novel approach that uses graph theory to structure and guide AI’s reasoning process. Unlike traditional methods, which often involve linear sequences of prompts, this concept models thought processes as interconnected nodes and edges in a graph, allowing for a more sophisticated and flexible approach to […] The post What is Graph of Thought in Prompt Engineering?

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How digital solutions increase efficiency in warehouse management

IBM Journey to AI blog

In the evolving landscape of modern business, the significance of robust maintenance, repair and operations (MRO) systems cannot be overstated. Efficient warehouse management helps businesses to operate seamlessly, ensure precision and drive productivity to new heights. In our increasingly digital world, bar coding stands out as a cornerstone technology, revolutionizing warehouses by enabling meticulous data tracking and streamlined workflows.

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Claude vs Gemini: A Guide to Choose the Right Model

Analytics Vidhya

Introduction Within the quickly changing field of artificial intelligence, two language models, Claude and Gemini, have become prominent competitors, each providing distinct advantages and skills. Although both models can manage various natural language processing (NLP) tasks, they have notable differences in architecture, methodology, and applications.

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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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How Can We Convert Unstructured Text into Actionable Knowledge? This AI Paper Unveils iText2KG for Incremental Knowledge Graphs Construction Using Large Language Models

Marktechpost

Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. Unstructured data often contains unresolved or duplicated entities and inconsistent relationships, which complicates its transformation into a coherent knowledge graph. Additionally, the vast amount of unstructured data available across various fields further emphasizes the need for scalable methods to automatically process, extr

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How is the Finance Industry Adopting Generative AI?

Analytics Vidhya

Introduction The finance industry is the cornerstone of any country’s development, as it drives economic growth by facilitating efficient transactions and credit availability. The ease with which transactions occur and credit is availed determines the fluidity of markets. It also encourages investments and fosters innovation. Additionally, the increasing demand for financial services makes it critical […] The post How is the Finance Industry Adopting Generative AI?

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Reimagining Telecom: GenAI’s Role in Elevating Customer Experiences

Unite.AI

As GenAI continues to transform the business landscape, we’re experiencing firsthand the emergence of technological advancements that are more rapid, more innovative, and more profound than anything else we’ve ever witnessed as a society. The impacts of GenAI are so pervasive that it’s not just spurring a technical revolution, it’s ushering in a new age where arguably every domain – from how we work to how we live our everyday lives –will transform to some degree.

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MedUnA: Efficient Medical Image Classification through Unsupervised Adaptation of Vision-Language Models

Marktechpost

Supervised learning in medical image classification faces challenges due to the scarcity of labeled data, as expert annotations are difficult to obtain. Vision-Language Models (VLMs) address this issue by leveraging visual-text alignment, allowing unsupervised learning, and reducing reliance on labeled data. Pre-training on large medical image-text datasets enables VLMs to generate accurate labels and captions, lowering annotation costs.

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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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Comparing Scikit-Learn and TensorFlow for Machine Learning

Machine Learning Mastery

Choosing a machine learning (ML) library to learn and utilize is essential during the journey of mastering this enthralling discipline of AI. Understanding the strengths and limitations of popular libraries like Scikit-learn and TensorFlow is essential to choose the one that adapts to your needs. This article discusses and compares these two popular Python libraries […] The post Comparing Scikit-Learn and TensorFlow for Machine Learning appeared first on MachineLearningMastery.com.

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This AI Paper by NVIDIA Introduces NEST: A Fast and Efficient Self-Supervised Model for Speech Processing

Marktechpost

Speech processing focuses on developing systems to analyze, interpret, and generate human speech. These technologies encompass a range of applications, such as automatic speech recognition (ASR), speaker verification, speech-to-text translation, and speaker diarization. With the growing reliance on virtual assistants, transcription services, and multilingual communication tools, efficient and accurate speech processing has become essential.

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Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

AWS Machine Learning Blog

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity. The FMs are typically pretrained on a large corpus of data that’s openly available on the internet.

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OpenAI Introduces OpenAI Strawberry o1: A Breakthrough in AI Reasoning with 93% Accuracy in Math Challenges and Ranks in the Top 1% of Programming Contests

Marktechpost

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning. It embodies a new era in AI development, setting the stage for enhanced programming, mathematics, and scientific reasoning performance.

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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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GeForce NOW to Bring ‘Dead Rising Deluxe Remaster’ to the Cloud at Launch

NVIDIA

Rise and shine — Capcom’s latest action-adventure game, Dead Rising Deluxe Remaster , heads to the cloud at launch next week. It’s part of nine new titles joining the extensive GeForce NOW library. ‘Dead Rising’ Coming Soon From the ground to the cloud. Dead Rising Deluxe Remaster returns with modern graphics. More than just a remaster, this Deluxe Remaster is a full graphical overhaul of the first game in the zombie-slaughtering action series Dead Rising.

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Our latest advances in robot dexterity

DeepMind

Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement

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Japan Announces Plans for a Zetta-Scale Supercomputer by 2030

Extreme Tech

It aims to be 1,000 times more powerful than the AMD-powered Frontier exascale computer, currently the fastest supercomputer in the world.

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 vLex Builds Out Its Transactional GenAI Skills With Convergence Strategy

Artificial Lawyer

vLex, which has been growing globally as a legal research rival to Thomson Reuters and LexisNexis, has unveiled a range of transactional genAI tools available.

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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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#40 Build Your Own Llama, LLMs From Scratch, and Understanding Meta’s Transfusion Model.

Towards AI

Last Updated on September 12, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, expect lots of resources and lighter conversations, research-focused collaborations, and, of course, the funniest meme from the community. What’s AI Weekly Keeping up with LLMs is getting tougher; there’s so much happening every week.

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Litera GenAI Survey: Doc Creation + Proofreading Top Use Cases

Artificial Lawyer

A new survey by legal tech company Litera has found that the two top ‘potential use cases’ for genAI are document creation and proofreading, with contract analysis + review coming third.

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Scaling Thomson Reuters’ language model research with Amazon SageMaker HyperPod

AWS Machine Learning Blog

Thomson Reuters , a global content and technology-driven company, has been using artificial intelligence and machine learning (AI/ML) in its professional information products for decades. The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do their work, helping professionals draw insights and automate workflows, enabling them to focus their time where it matters most.