Analytics Vidhya

JULY 22, 2024

Introduction Generative AI has been the hottest topic of the 21st century, revolutionizing industries with its ability to create text, images, music, and even entire virtual worlds, all with the touch of a button. From video editing to music creation, GenAI rules every sector. This technology transforms fields like art and entertainment, significantly impacting healthcare, […] The post Free Generative AI Course: Pioneering the Future of Creativity and Innovation appeared first on Analytics

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AI News

JULY 22, 2024

In the high-stakes world of sports betting, success hinges on the ability to predict outcomes with precision. Enter AI, which is revolutionising the industry by providing bettors with sophisticated tools to improve their odds. By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head.

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Analytics Vidhya

JULY 22, 2024

Introduction Running large language models (LLMs) locally can be a game-changer, whether you’re experimenting with AI or building advanced applications. But let’s be honest—setting up your environment and getting these models to run smoothly on your machine can be a real headache. Enter Ollama, the platform that makes working with open-source LLMs a breeze.

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AI News

JULY 22, 2024

Three hospital systems across England have begun a live clinical trial of AI technology designed to detect and grade prostate cancer. The study – known as ARTICULATE PRO – is being led by the University of Oxford in collaboration with Paige , a pioneer in clinical AI applications for cancer diagnosis. The participating hospitals – North Bristol Trust Southmead Hospital, University Hospitals Coventry and Warwickshire, and Oxford University NHS Foundation Trust – are now incorporating Paige’

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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

Analytics Vidhya

JULY 22, 2024

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. We’ll take you through a thorough examination of recent advancements in neural networks and algorithms, shedding light on the key ideas behind modern AI. By highlighting the significant impact of these discoveries on current applications and […] The post 10 Must Read Machine Learning Research Papers appeared first on Analytics Vidhya.

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IBM Journey to AI blog

JULY 22, 2024

In June, IBM invited ecosystem partners in Europe, the Middle East and Africa to participate in an IBM watsonx™ Challenge, a hands-on experience designed to bring the watsonx platform capabilities to some of the most important members of the IBM ecosystem. These ecosystem partners, who sell, build or service IBM technologies, enthusiastically embraced the challenge.

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Analytics Vidhya

JULY 22, 2024

Introduction In a future where jet engines are able to anticipate their own failures before they occur, millions of dollars and possibly lives could be saved. This research uses NASA jet engine simulation data to explore a novel method to predictive maintenance. We explore how machine learning can assess the condition of these vital components […] The post CMAPSS Jet Engine Failure Classification Based On Sensor Data appeared first on Analytics Vidhya.

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Unite.AI

JULY 22, 2024

Sam Oliver is a tech entrepreneur, property investor, and author who launched his first startup at just 20 years old. His latest venture, OpenFi , equips large companies with conversational AI on WhatsApp to onboard and nurture customer relationships. Can you explain why you believe the term “chatbot” is inadequate for describing modern conversational AI tools like OpenFi?

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Analytics Vidhya

JULY 22, 2024

Introduction When it comes to working with Large Language Models (LLMs) like GPT-3 or GPT-4, prompt engineering is a game-changer. Have you ever wondered how to make your interactions with AI more detailed and organized? Enter the Chain of Symbol method—a cutting-edge technique designed to do just that. In this paper, we’ll dive into what […] The post What is the Chain of Symbol in Prompt Engineering?

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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?

Business Intelligence

Unite.AI

JULY 22, 2024

OpenAI, a leader in scaling Generative Pre-trained Transformer (GPT) models, has now introduced GPT-4o Mini, shifting toward more compact AI solutions. This move addresses the challenges of large-scale AI, including high costs and energy-intensive training, and positions OpenAI to compete with rivals like Google and Claude. GPT-4o Mini offers a more efficient and affordable approach to multimodal AI.

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Analytics Vidhya

JULY 22, 2024

Introduction The DataHack Summit 2024 is set to be an epicenter of innovation and knowledge, bringing together the most brilliant minds in AI and Data Science. This year’s summit will showcase transformative advancements, providing attendees with invaluable insights and practical skills. Here are the top 10 sessions you simply cannot miss, each offering unique insights […] The post Top 10 GenAI Hack Sessions at DataHack Summit 2024 appeared first on Analytics Vidhya.

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Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. However, these models face significant challenges, including temporal limitations of their knowledge base, difficulties with complex mathematical computations, and a tendency to produce inaccurate information or “hallucinations.” These limitations have spurred researchers to explore innovative solutions that can enhance LLM performance without t

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Towards AI

JULY 22, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Towards AI has partnered with O’Reilly, a leader in digital learning and professional development, to make our latest resources more accessible. Through this partnership, our latest book, “Building LLMs for Production,” and two exclusive ‘shortcut’ video series on LLMs and Generative AI research are now available on the O’Reilly learning platform.

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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

AI

Marktechpost

JULY 22, 2024

The recent development of large language models (LLMs) has transformed the field of Natural Language Processing (NLP). LLMs show human-level performance in many professional and academic fields, showing a great understanding of language rules and patterns. However, they often struggle with reasoning reliably and flexibly. This problem likely comes from the way transformers, the underlying architecture, work.

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Towards AI

JULY 22, 2024

Last Updated on July 22, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. I have been studying machine learning for the past 6 years — here is my journey. I have been studying machine learning for the past 6 years, in which I worked as an ML student researcher for over 2 years, and have even written my first 3 papers.

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Marktechpost

JULY 22, 2024

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. However, acquiring such datasets presents significant challenges, including data scarcity, privacy concerns, and high data collection and annotation costs.

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databricks

JULY 22, 2024

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

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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.

Business Intelligence

Marktechpost

JULY 22, 2024

SciPhi has recently announced the release of Triplex , a state-of-the-art language model (LLM) designed specifically for knowledge graph construction. This open-source innovation is poised to revolutionize how large quantities of unstructured data are converted into structured formats, significantly reducing the cost and complexity traditionally associated with this process.

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Towards AI

JULY 22, 2024

Author(s): Dmitry Malishev Originally published on Towards AI. A structured and thoughtful response from LLM based on perfectly selected data from RAG is a promising technique. And it can be even better! Image generated by the author using Leonardo.ai By now, I’ve completed several projects related to LLM based on RAG: article analyzers, knowledge-based Q&A bots, and insight generators.

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databricks

JULY 22, 2024

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

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SAS Software

JULY 22, 2024

Our employees’ health and well-being is important to us, and has been since the very beginning. That’s why our Headquarters Campus has 28 acres dedicated to the physical fitness of employees, a Work/Life Center staffed with licensed clinical social workers, and so much more… including a one-of-a-kind on-site Health Care [.] The post Celebrating 40 years of care: The story of SAS’ onsite Health Care Center appeared first on SAS Blogs.

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Marktechpost

JULY 22, 2024

In the field of Artificial Intelligence, open, generative models stand out as a cornerstone for progress. These models are vital for advancing research and fostering creativity by allowing fine-tuning and serving as benchmarks for new innovations. However, a significant challenge persists as many state-of-the-art text-to-audio models remain proprietary, limiting their accessibility for researchers.

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Towards AI

JULY 22, 2024

Last Updated on July 22, 2024 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts.

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Marktechpost

JULY 22, 2024

LLMs excel in processing textual data, while VLN primarily involves visual information. Effectively combining these modalities requires sophisticated techniques to align and correlate visual and textual representations. Despite significant advancements in LLMs, a performance gap exists when these models are applied to VLN tasks compared to specialized models designed specifically for navigation.

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Towards AI

JULY 22, 2024

Last Updated on July 22, 2024 by Editorial Team Author(s): Igor Novikov Originally published on Towards AI. Since the writing of my last article, not much time has passed, but progress doesn’t stand still, and several important changes have occurred. Here, I won’t cover the basics — read the original article for that. Context The first significant change is the substantial increase in the context window size and the decrease in token costs.

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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.

Generative AI

Marktechpost

JULY 22, 2024

Multi-modal generative models integrate various data types, such as text, images, and videos, expanding AI applications across different fields. However, optimizing these models presents complex challenges related to data processing and model training. The need for cohesive strategies to refine both data and models is crucial for achieving superior AI performance.

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Extreme Tech

JULY 22, 2024

The company agreed to give third-party software kernel access to Windows in 2009, and now it's bitten the company in the you-know-what.

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Marktechpost

JULY 22, 2024

A major development in artificial intelligence, multimodal large language models (MLLMs) combine verbal and visual comprehension to produce more accurate representations of multimodal inputs. Through the integration of data from multiple sources, including text and images, these models improve understanding of intricate relationships between various modalities.

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