Sat.May 25, 2024 - Fri.May 31, 2024

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Elon Musk’s xAI secures $6B to challenge OpenAI in AI race

AI News

Elon Musk founded xAI last summer, and The Verge just reported that it’s already making waves by announcing a massive $6 billion funding round. According to the company, this money will help bring xAI’s first products to market, build advanced infrastructure, and accelerate research and development efforts into future technologies. Musk has some history in the AI space.

OpenAI 263
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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

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Banking on AI: Fraud Detection, Credit Risk Analysis, and the Future of Financial Services

Unite.AI

In 2020, the financial world was rocked by a scandal involving Wirecard, a German payments processing company. Wirecard had inflated its revenue and profits for years through an elaborate accounting fraud scheme. It resulted in billions of dollars in losses for investors and exposed vulnerabilities in traditional financial oversight methods. Another notable instance of financial fraud occurred in February 2016, when hackers targeted the central bank of Bangladesh and exploited vulnerabilities i

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EU launches office to implement AI Act and foster innovation

AI News

The European Union has launched a new office dedicated to overseeing the implementation of its landmark AI Act , which is regarded as one of the most comprehensive AI regulations in the world. This new initiative adopts a risk-based approach, imposing stringent regulations on higher-risk AI applications to ensure their safe and ethical deployment. The primary goal of this office is to promote the “future development, deployment and use” of AI technologies, aiming to harness their soc

Big Data 218
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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How AI Allows Us to Play Ancient Board Games

Unite.AI

Imagine delving into the mysteries of ancient civilizations through their board games, such as Senet and Patolli. They offer a glimpse into the past, but their rules have been lost, leaving people wondering how they were played. Artificial intelligence shines in this scenario, and it's the key to unlocking these ancient secrets. AI revolutionizes how people understand these old games, using complex algorithms to hypothesize rules from fragments of historical texts and artifacts.

AI 147

More Trending

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology.

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Ben Ball, IBM: Revolutionising technology operations with IBM Concert

AI News

In an interview ahead of the Intelligent Automation Conference , Ben Ball, Senior Director of Product Marketing at IBM , shed light on the tech giant’s latest AI endeavours and its groundbreaking new Concert product. IBM’s current focal point in AI research and development lies in applying it to technology operations. As Ball explained, “As people try to build applications out in the world, it’s an increasingly complex situation.

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities. With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction.

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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Data protection strategy: Key components and best practices

IBM Journey to AI blog

Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities.

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Arm unveils new AI designs and software for smartphones

AI News

AI models are rapidly evolving, outpacing hardware capabilities, which presents an opportunity for Arm to innovate across the compute stack. Recently, Arm unveiled new chip blueprints and software tools aimed at enhancing smartphones’ ability to handle AI tasks more efficiently. But they didn’t stop there – Arm also implemented changes to how they deliver these blueprints, potentially accelerating adoption.

Big Data 215
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Effective Prompting with A Handful of Fundamentals

Eugene Yan

Description of post here (150 chars)

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Python String Matching With Pregex

Analytics Vidhya

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

Python 292
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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How to Transcribe Audio to Text Accurately at Scale

AssemblyAI

The process of transcribing audio to text has transformed in recent years. Gone are the days when you had to wait for days or even weeks to receive transcripts from human services. Today, with the evolution of Speech AI models, you can get your audio transcribed to text with a high accuracy rate. Across industries, we’re seeing audio-to-text transcription as a non-negotiable for thousands of businesses.

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Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

AI News

Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Nicholas Brackney, Senior Consultant in Product Marketing at Dell, discussed the company’s AI initiatives ahead of AI & Big Data Expo North America. Dell’s AI strategy is structured around four core principles: AI-In, AI-On, AI-For, and AI-With: “Embedding AI capabilities in our offerings and services drives speed, intelligence

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Clearing the “Fog of More” in Cyber Security

Unite.AI

At the RSA Conference in San Francisco this month, a dizzying array of dripping hot and new solutions were on display from the cybersecurity industry. Booth after booth claimed to be the tool that will save your organization from bad actors stealing your goodies or blackmailing you for millions of dollars. After much consideration, I have come to the conclusion that our industry is lost.

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Top 9 Python Libraries for Data Engineers

Analytics Vidhya

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.

Python 269
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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Empower developers to focus on innovation with IBM watsonx

IBM Journey to AI blog

In the realm of software development, efficiency and innovation are of paramount importance. As businesses strive to deliver cutting-edge solutions at an unprecedented pace, generative AI is poised to transform every stage of the software development lifecycle (SDLC). A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI.

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Filter profanity from audio files using Node.js

AssemblyAI

With the explosion of audio and video content available online, it is hard to ensure this content does not include swear words and other profanity. With profanity detection AI models, developers can automatically filter out offensive language at scale. In this tutorial, you’ll learn how to use Node.js to filter profanity from audio files. By the end of this guide, you'll be equipped to implement this functionality in just a few lines of code, enhancing both user experience and conten

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OpenAI Forms Safety Council, Trains Next-Gen AI Model Amid Controversies

Unite.AI

OpenAI has made significant strides in advancing artificial intelligence technologies, with its most recent achievement being the GPT-4o system that powers the popular ChatGPT chatbot. Today, OpenAI announced the establishment of a new safety committee, the OpenAI Safety Council, and revealed that it has begun training a new AI model. Who is in OpenAI's Safety Council?

OpenAI 162
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How to use sum() Function in Python?

Analytics Vidhya

Introduction In this article, you’ll discover an in-depth exploration of the sum() function in Python, a crucial built-in utility for aggregating numbers across various iterable types. We begin by explaining the fundamental syntax and parameters of the sum() function, followed by detailed examples showcasing its application to lists, dictionaries, sets, and tuples.

Python 264
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Rise of Agentic Retrieval-Augmented Generation (RAG) in Artificial Intelligence AI

Marktechpost

In the rapidly developing fields of data science and Artificial Intelligence (AI), the search for increasingly effective systems is also increasing significantly. The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times. This strategy is set to completely transform the way information is used and managed, offering a substantial improvement over current RAG systems.

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Content moderation on audio files with Python

AssemblyAI

With a growing percentage of human communication happening online, ensuring that this communication is content-appropriate for a given platform is critical to maintaining the integrity and safety of online spaces. Content moderation is essential in these efforts, helping to detect and manage inappropriate or sensitive material in media files. In this tutorial, we'll learn how you can use Python and state-of-the-art AI models to automatically perform content moderation on audio files at scal

Python 162
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Could “Robot-Phobia” Worsen the Hospitality Industry’s Labor Shortage?

Unite.AI

The hospitality industry has grappled with a severe labor shortage since the COVID-19 pandemic. As businesses struggle to find enough workers to meet the growing demand, many have turned to robotic technology as a potential solution. However, a recent study conducted by Washington State University suggests that the introduction of robots in the workplace may inadvertently exacerbate the labor shortage due to a phenomenon known as “robot-phobia” among hospitality workers.

Robotics 162
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How to Build an Effective Text Summarization Model Using Google’s T5-Base?

Analytics Vidhya

Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Microsoft Research Introduces Gigapath: A Novel Vision Transformer For Digital Pathology

Marktechpost

Digital pathology converts traditional glass slides into digital images for viewing, analysis, and storage. Advances in imaging technology and software drive this transformation, which has significant implications for medical diagnostics, research, and education. There is a chance to speed up advancements in precision health by a factor of ten because of the present generative AI revolution and the parallel digital change in biomedicine.

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Newsletter #38: Apply LLMs To Voice Data

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Use Large Language Models With Voice Data Get more from your voice data with our new guides on using Large Language Models (LLMs) with  LeMUR. Learn how to ask questions, summarize, extract, and generate content from your audio data: Ask questions about your audio data : Learn how to use LeMUR to ask questions and get insightful answers about your audio da

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Benjamin Ogden, Founder & CEO of DataGenn AI – Interview Series

Unite.AI

Benjamin Ogden is the founder and CEO of DataGenn AI , building autonomous investor and trader agents that have been finely tuned to generate profitable trading predictions and execute market trades. Utilizing Reinforcement Learning from Human Feedback (RLHF), the agents' trade prediction accuracy continually improves. Currently, DataGenn AI is in the process of raising funds to support its continued growth and innovation in the financial services industry.