Tue.May 14, 2024

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How to Learn Artificial Intelligence?

Analytics Vidhya

Introduction Do you find the prospects of AI intriguing? Whatever your goal is, be it becoming a data scientist, machine learning engineer, AI researcher, or just being fascinated by the world of artificial intelligence, this guide is designed for you. In this in-depth article, you will find out the basics of learning AI from scratch, […] The post How to Learn Artificial Intelligence?

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GPT-4o delivers human-like AI interaction with text, audio, and vision integration

AI News

OpenAI has launched its new flagship model, GPT-4o, which seamlessly integrates text, audio, and visual inputs and outputs, promising to enhance the naturalness of machine interactions. GPT-4o, where the “o” stands for “omni,” is designed to cater to a broader spectrum of input and output modalities. “It accepts as input any combination of text, audio, and image and generates any combination of text, audio, and image outputs,” OpenAI announced.

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What Can You Do With GPT-4o? | Demo

Analytics Vidhya

Introduction Finally, the much-awaited time has come! With their exciting Spring Update event, OpenAI revealed GPT-4o after months of anticipation and conjecture. Get ready, for this AI feat will completely change how we see the world! Did you find ChatGPT and GPT-3 to be impressive? You’re about to get your head blown away in many ways. With […] The post What Can You Do With GPT-4o?

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Understanding the Hype Cycle and Organisational Trajectories

Unite.AI

In today's fast-evolving technology landscape, innovation plays a pivotal role in shaping future product portfolios as industries explore new ways to streamline business operations, deliver efficiencies, and deepen customer engagement. However, with the accelerating pace of change, it's essential to separate the innovations which will disrupt or drive transformative outcomes and thus need large investment from those that need to be explored but not yet invested in.

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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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Multimodal Search Image Application with Titan Embedding

Analytics Vidhya

Introduction In today’s world, where data comes in various forms, including text, images, and multimedia, there is a growing need for applications to understand and process this diverse information. One such application is a multimodal image search app, which allows users to search for images using natural language queries. In this blog post, we’ll explore […] The post Multimodal Search Image Application with Titan Embedding appeared first on Analytics Vidhya.

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Google I/O 2024 Top Highlights: Major upgrades to Gemini 1.5 Pro, New models, Gen AI for search & More

Analytics Vidhya

Introduction The inference of Google I/O, the tech giant’s annual conference, has left the world buzzing with excitement over a plethora of groundbreaking announcements and technological marvels that promise to redefine the landscape of innovation. From significant strides in artificial intelligence to ingenious enhancements in Google’s product ecosystem we will look into all the launches […] The post Google I/O 2024 Top Highlights: Major upgrades to Gemini 1.5 Pro, New models,

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The CFO’s role in the age of generative AI

IBM Journey to AI blog

CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. The current business environment has CFOs facing headwinds for decision-making in less-than-ideal conditions with rapidly shifting regulations, tedious reporting standards, ESG requirements and inflationary pressures; however, the need for growth and profit expansion remains, and as CEOs look for ways t

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GPT-4o vs Gemini: Comparing Two Powerful Multimodal AI Models

Analytics Vidhya

Introduction With the release of GPT-4o, this model is getting huge attention for its multimodal capabilities. GPT-4o is known for its advanced language processing skills and has been enhanced to interpret and generate visual content. However, we shouldn’t overlook Gemini, a model that has been highly praised for its multimodal abilities long before GPT-4o arrived. […] The post GPT-4o vs Gemini: Comparing Two Powerful Multimodal AI Models appeared first on Analytics Vidhya.

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18 Ways Businesses are Launching New Products with Speech AI

AssemblyAI

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. We're seeing innovators solve massive challenges and provide creative solutions—like coaching to help children learn to read or call analytics to improve customer support—and we want to highlight some of the new use cases we're seeing in the overall market.

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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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How AI-Enhanced Medical Robots Are Redefining Precision in the OR

Aiiot Talk

Precision and the reduction of human error are some of AI and robotics’ most valuable advantages. While these benefits are important in many use cases, few are as crucial as the medical sector. It should be no surprise that AI-guided robots are showing potential to revolutionize the operating room. The medical industry faces higher standards than most, so new technologies take a while to become common in this sector.

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Watermarking AI-generated text and video with SynthID

DeepMind

Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products

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The Art of Memory Mosaics: Unraveling AI’s Compositional Prowess

Marktechpost

Have you ever wondered how current AI systems, like those powering chatbots and language models, can comprehend and generate natural language so effectively? The answer lies in their ability to memorize and combine knowledge fragments, a process that has long eluded traditional machine learning techniques. This paper explores a novel approach called “Memory Mosaics,” which aims to shed light on this intricate process and potentially pave the way for more transparent and disentangled

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Jus Mundi – GenAI Arbitration Assistant – Product Walk Through

Artificial Lawyer

In this week’s AL TV Product Walk Through we take a deep dive with arbitration pioneer Jus Mundi and look at its new GenAI legal assistant, which helps lawyers to ‘streamline legal research, analys…

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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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OpenAI Launches ChatGPT Desktop App: Enhancing Productivity for Mac Users

Marktechpost

On May 13, OpenAI held its Spring update event, at which the company announced its newest model, GPT-4o, an AI model with a GPT-4 level of intelligence. The “ o ” in GPT-4o means omnimodal capabilities due to its ability to process and integrate text, vision, and audio. The event was overall good and properly highlighted everything important and relevant, including the major announcement of the official ChatGPT desktop app for Mac.

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Incorporate offline and online human – machine workflows into your generative AI applications on AWS

AWS Machine Learning Blog

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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Excited about GPT-4o? Now Check out Google AI’s New Project ‘Astra’: The Multimodal Answer to the New ChatGPT

Marktechpost

On May 13, OpenAI held its massive Spring Update event, a successful event with many innovations, including GPT-4o; however, today, hours ago, Google held its very own event called Google I/O ’24. During the event, Google introduced and improved many things, including Ask Photos, expanding the AI overviews in search, bringing Gemini 1.5 pro to Workspace, AI Agents, and much more.

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With Dioptra Wilson Sonsini Launches Super-Accurate AI Doc Review

Artificial Lawyer

Wilson Sonsini’s Head of Innovation, David Wang, sums it up: ‘You cannot have efficiency without accuracy.’ And that has always been a challenge for legal.

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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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Large Language Model (LLM) Training Data Is Running Out. How Close Are We To The Limit?

Marktechpost

In the quickly developing fields of Artificial Intelligence and Data Science, the volume and accessibility of training data are critical factors in determining the capabilities and potential of Large Language Models (LLMs). Large volumes of textual data are used by these models to train and improve their language understanding skills. A recent tweet from Mark Cummins discusses how near we are to exhausting the global reservoir of text data required for training these models, given the exponentia

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Gemini breaks new ground: a faster model, longer context and AI agents

DeepMind

We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants.

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Microsoft Researchers Propose DiG: Transforming Molecular Modeling with Deep Learning for Equilibrium Distribution Prediction

Marktechpost

Advances in deep learning have revolutionized molecule structure prediction, but real-world applications often require understanding equilibrium distributions rather than just single structures. Current methods, like molecular dynamics simulations, are computationally intensive and insufficient for capturing the full range of molecular flexibility. Equilibrium distribution prediction is crucial for assessing macroscopic properties and functional states of molecules like adenylate kinase.

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Exploring Linear Regression for Spatial Analysis.

Towards AI

Last Updated on May 15, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Exploring Linear Regression for Spatial Analysis. Created by the author with DALL E-3 Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep learning, artificial intelligence and machine learning dominating the conversation when it comes to technology-related topics.

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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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Generative AI in Marketing and Sales: A Comprehensive Review

Marktechpost

Generative AI (GenAI) is rapidly transforming the marketing and sales landscape, offering unprecedented capabilities in customer personalization, content creation, and overall business efficiency. Let’s synthesize insights from various sources to explore how companies can leverage GenAI effectively. Quick Adoption and Immediate Impact GenAI is a game-changing concept and a present-day tool integrated across various business functions with significant outcomes.

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Crafting QA Tool with Reading Abilities Using RAG and Text-to-Speech

Towards AI

Last Updated on May 15, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Develop your QA Chat Tool with the latest advancements in AI research.Image generated with ideogram.ai We have been in a year where LLM has been used massively by many companies. From simple search engines to extensive chatbots, LLM has facilitated all business needs.

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Web-Instruct’s Instruction Tuning for MAmmoTH2 and MAmmoTH2-Plus Models: The Power of Web-Mined Data in Enhancing Large Language Models

Marktechpost

Large language models (LLMs) are central to processing vast amounts of data quickly and accurately. They depend critically on the quality of instruction tuning to enhance their reasoning capabilities. Instruction tuning is essential as it prepares LLMs to solve new, unseen problems effectively by applying learned knowledge in structured scenarios. Securing high-quality, scalable instruction data remains a principal challenge in the domain.

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Gemma, Meet NIM: NVIDIA Teams Up With Google DeepMind to Drive Large Language Model Innovation

NVIDIA

Large language models that power generative AI are seeing intense innovation — models that handle multiple types of data such as text, image and sounds are becoming increasingly common. However, building and deploying these models remains challenging. Developers need a way to quickly experience and evaluate models to determine the best fit for their use case, and then optimize the model for performance in a way that not only is cost-effective but offers the best performance.

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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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Top Books on Deep Learning and Neural Networks

Marktechpost

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Understanding deep learning equips individuals to harness its potential, driving innovation and solving complex problems across various industries.

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Building DBRX-class Custom LLMs with Mosaic AI Training

databricks

We recently introduced DBRX : an open, state-of-the-art, general-purpose LLM. DBRX was trained, fine-tuned, and evaluated using Mosaic AI Training, scaling training to.

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This AI Paper by Snowflake Introduces Arctic-Embed: Enhancing Text Retrieval with Optimized Embedding Models

Marktechpost

In the expanding natural language processing domain, text embedding models have become fundamental. These models convert textual information into a numerical format, enabling machines to understand, interpret, and manipulate human language. This technological advancement supports various applications, from search engines to chatbots, enhancing efficiency and effectiveness.

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