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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Machine Learning Algorithm Neural Network Natural Language Processing 282

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.

LLM 297

LLM Large Language Models AI AI 297

Unite.AI

JULY 22, 2024

The use of l arge language models (LLMs) like ChatGPT is exploding across industries. Even scientists are leaning on AI to write or at least polish their work. A recent analysis of five million scientific studies published in 2023 found a rapid increase in certain words, such as meticulous, intricate, and commendable. The reason for this increase? The use of LLMs.

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Prompt Engineer Prompt Engineering ChatGPT Explainability 278

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.

AI

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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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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Big Data AI AI Artificial Intelligence 254

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.

Machine Learning 246

Machine Learning Neural Network Data Analysis Generative AI 246

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 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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Prompt Engineer Prompt Engineering Large Language Models AI 240

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.

LLM

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

Large Language Models 128

Large Language Models Neural Network Natural Language Processing LLM 128

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.

Data Science 289

Data Science AI AI Generative AI 289

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.

LLM 127

LLM AI AI Generative AI 127

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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AI Researcher AI Research Data Scarcity Prompt Engineer 123

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.

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.

LLM 129

LLM AI Developer AI Development AI 129

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.

Large Language Models 122

Large Language Models Natural Language Processing Algorithm NLP 122

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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ML Robotics Machine Learning Explainability 119

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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LLM Data Scientist Data Analysis ML 119

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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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LLM Large Language Models Algorithm ChatGPT 119

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.

AI Modeling 126

AI Modeling AI AI Generative AI 126

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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Artificial Intelligence Artificial Intelligence AI AI 110

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.

LLM 110

LLM Metadata OpenAI Automation 110

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.

AI

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.

LLM 110

LLM Prompt Engineer Prompt Engineering Large Language Models 110

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

The field of software engineering continually evolves, with a significant focus on improving software maintenance and code comprehension. Automated code documentation is a critical area within this domain, aiming to enhance software readability and maintainability through advanced tools and techniques. A major challenge in software maintenance is the high cost and effort associated with code comprehension.

Automation 108

Automation Software Engineer Software Development Large Language Models 108

databricks

JULY 22, 2024

Written in collaboration with Navin Sharma and Joe Pindell, Stardog Across industries, the impact of post-delivery failure costs (recalls, warranty claims, lost goodwill.

Generative AI 98

Generative AI AI AI 98

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Generative AI

Marktechpost

JULY 22, 2024

Authorship Verification (AV) is critical in natural language processing (NLP), determining whether two texts share the same authorship. This task holds immense importance across various domains, such as forensics, literature, and digital security. The traditional approach to AV relied heavily on stylometric analysis, which uses linguistic and stylistic features like word and sentence lengths and function word frequencies to differentiate between authors.

Explainability 105

Explainability BERT Large Language Models Deep Learning 105

Machine Learning Mastery

JULY 22, 2024

The large Language Model, or LLM, has revolutionized how people work. By helping users generate the answer from a text prompt, LLM can do many things, such as answering questions, summarizing, planning events, and more. However, there are times when the output from LLM is not up to our standard. For example, the text generated […] The post Understanding LangChain LLM Output Parser appeared first on MachineLearningMastery.com.

LLM 90

LLM Large Language Models Data Science 90

Marktechpost

JULY 22, 2024

In computational chemistry, molecules are often represented as molecular graphs, which must be converted into multidimensional vectors for processing, particularly in machine learning applications. This is achieved using molecular fingerprint feature extraction algorithms that encode molecular structures as vectors. These fingerprints are crucial for tasks in chemoinformatics, such as chemical space diversity, clustering, virtual screening, and molecular property prediction.

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Machine Learning Python ML Algorithm 104