Analytics Vidhya

MAY 17, 2024

Introduction Do you know, that you can automate machine learning (ML) deployments and workflow? Yes, you heard it right. This can be done using Machine Learning Operations (MLOps), which are a set of rules and practices that simplify and automate ML deployments and workflows. Nowadays people are building AI and ML solutions that are solving […] The post 6 Free Courses on MLOps Offered by Google appeared first on Analytics Vidhya.

Machine Learning 330

Machine Learning Automation ML AI 330

IBM Journey to AI blog

MAY 17, 2024

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern.

DevOps 316

DevOps Automation AI AI 316

Analytics Vidhya

MAY 17, 2024

Introduction In natural language processing (NLP), sequence-to-sequence (seq2seq) models have emerged as a powerful and versatile neural network architecture. These models excel at various complex tasks such as machine translation, text summarization, and dialogue systems, fundamentally transforming how machines understand and generate human language.

Neural Network 321

Neural Network Natural Language Processing NLP 321

AI News

MAY 17, 2024

Intelligent automation (IA) technologies are graduating from being operational to highly strategic. In terms of the bottom line, it’s even more impressive. A study from SS&C Blue Prism , conducted by Forrester Consulting and published in April, put together a composite organisation representative of five customers interviewed. The conclusion was that, over three years, there were key gains in IA from greater productivity to compliance cost avoidance, to improved employee experience and reten

Automation 293

Automation Big Data Explainability Robotics 293

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

MAY 17, 2024

Introduction Arranging a vacation may be a thrilling and daunting task. The details, which range from selecting the ideal location to scheduling travel and lodging, may quickly become overwhelming. Thankfully, advances in artificial intelligence (AI) have transformed travel planning with technologies that allow you to customize and expedite every part of your trip.

Artificial Intelligence 314

Artificial Intelligence Artificial Intelligence AI AI 314

Analytics Vidhya

MAY 17, 2024

Introduction Machine learning (ML) is rapidly transforming various industries. From healthcare to finance, its impact is profound. Companies leverage machine learning to analyze data, predict trends, and make informed decisions. Learning ML has become crucial for anyone interested in a data career. There are a plethora of digital learning platforms and resources available today to […] The post 6 Free University Courses to Learn Machine Learning appeared first on Analytics Vidhya.

Machine Learning 311

Machine Learning ML Data Science Python 311

Unite.AI

MAY 17, 2024

Artificial Intelligence (AI) holds great promise for healthcare, offering improvements in diagnostic accuracy, reducing workloads, and enhancing patient outcomes. Despite these benefits, there is hesitancy in adopting AI in the medical field. This reluctance stems mainly from a lack of trust among healthcare professionals, who are concerned about job displacement due to AI's superior performance in various tasks and the complex, opaque nature of AI systems.

AI 182

AI AI Automation Artificial Intelligence 182

Analytics Vidhya

MAY 17, 2024

Introduction In our digital era, where information is predominantly shared through electronic formats, PDFs serve as a crucial medium. However, the data within them, especially images, often remain underutilized due to format constraints. This blog post introduces a pioneering approach that liberates and not only liberates but also maximizes the utility of data from PDFs. […] The post Transforming PDF Images into Interactive Dialogues with AI appeared first on Analytics Vidhya.

AI 304

AI AI Large Language Models AI Modeling 304

Unite.AI

MAY 17, 2024

Large Language Models (LLMs) have emerged as a transformative force, significantly impacting industries like healthcare, finance, and legal services. For example, a recent study by McKinsey found that several businesses in the finance sector are leveraging LLMs to automate tasks and generate financial reports. Moreover, LLMs can process and generate human-quality text formats, seamlessly translate languages, and deliver informative answers to complex queries, even in niche scientific domains.

LLM 162

LLM Large Language Models Neural Network Artificial Intelligence 162

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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

Analytics Vidhya

MAY 17, 2024

Introduction Google has introduced new features at Google I/O 2024, leveraging advanced AI to streamline tasks and improve productivity. These include organizing receipts, returning online orders, simplifying email threads, and planning personalized trips. Google’s AI Agent integration into Google Search enhances research capabilities, while Gemini and Chrome enable secure browsing.

AI 288

AI AI Generative AI Artificial Intelligence 288

Unite.AI

MAY 17, 2024

In recent years, the healthcare industry has witnessed a significant increase in the use of large language model-based chatbots, or generative conversational agents. These AI-powered tools have been employed for various purposes, including patient education, assessment, and management. As the popularity of these chatbots grows, researchers from the University of Illinois Urbana-Champaign's ACTION Lab have taken a closer look at their potential to promote healthy behavior change.

AI Chatbots 147

AI Chatbots Chatbots Large Language Models AI 147

AssemblyAI

MAY 17, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Latest AssemblyAI Benchmarks Check out our new  Benchmarks  page, showcasing the performance of our Speech-to-Text API. Learn about our latest metrics:   Try our API now with these features:  Speaker Diarization : Automatically identify different speakers in audio files.

Large Language Models 147

Large Language Models Python LLM AI Modeling 147

Unite.AI

MAY 17, 2024

Image inpainting is one of the classic problems in computer vision, and it aims to restore masked regions in an image with plausible and natural content. Existing work employing traditional image inpainting techniques like Generative Adversarial Networks or GANS, and Variational Auto-Encoders or VAEs often require auxiliary hand-engineered features but at the same time, do not deliver satisfactory results.

Computer Vision 147

Computer Vision Auto-complete Categorization Artificial Intelligence 147

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

MAY 17, 2024

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. It has applications in various domains, such as language translation, text summarization, sentiment analysis, and the development of conversational agents. Large language models (LLMs) have significantly advanced these applications by leveraging vast data to perform tasks with high accuracy, almost matching human performance.

LLM 139

LLM Large Language Models NLP Natural Language Processing 139

AWS Machine Learning Blog

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs). FMs are trained on a broad spectrum of generalized and unlabeled data.

Generative AI 133

Generative AI LLM Prompt Engineer Prompt Engineering 133

Marktechpost

MAY 17, 2024

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Incorporating speech comprehension could vastly improve human-computer interaction. Current methods rely on automated speech recognition (ASR) followed by LLM processing, missing non-textual cues.

Large Language Models 122

Large Language Models LLM AI AI 122

AWS Machine Learning Blog

MAY 17, 2024

Today, we are excited to announce the Mixtral-8x22B large language model (LLM), developed by Mistral AI , is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you can quickly get started with ML.

LLM 125

LLM Python Machine Learning Algorithm 125

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

MAY 17, 2024

With AI’s support, the real estate business is seeing a revolutionary shift. With the widespread adoption of AI, real estate agents have access to a suite of AI solutions that can transform their business and provide unparalleled service to clients. Some apps use artificial intelligence to help people choose their ideal homes, forecast real estate values, and even manage their real estate agencies.

AI Tools 115

AI Tools Artificial Intelligence Artificial Intelligence Natural Language Processing 115

DeepMind

MAY 17, 2024

Our approach to analyzing and mitigating future risks posed by advanced AI models

AI Modeling 152

AI Modeling AI AI 152

Marktechpost

MAY 17, 2024

In the present world, businesses and individuals rely heavily on artificial intelligence, particularly large language models (LLMs), to assist with various tasks. However, these models have significant limitations. One of the main issues is their inability to remember long-term conversations, which makes it difficult to provide consistent and context-aware responses.

Large Language Models 112

Large Language Models Artificial Intelligence Artificial Intelligence AI 112

Extreme Tech

MAY 17, 2024

NASA personnel worry about SpaceX's risk calculation and its immature space suit.

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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!

Marktechpost

MAY 17, 2024

Natural language processing (NLP) has advanced significantly thanks to neural networks, with transformer models setting the standard. These models have performed remarkably well across a range of criteria. However, they pose serious problems because of their high memory requirements and high computational expense, particularly for applications that demand long-context work.

Neural Network 110

Neural Network NLP Natural Language Processing AI 110

Extreme Tech

MAY 17, 2024

Gee, thanks Microsoft! We can't imagine how that setting got changed in the first place.

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Marktechpost

MAY 17, 2024

RLHF is the standard approach for aligning LLMs. However, recent advances in offline alignment methods, such as direct preference optimization (DPO) and its variants, challenge the necessity of on-policy sampling in RLHF. Offline methods, which align LLMs using pre-existing datasets without active online interaction, have shown practical efficiency and are simpler and cheaper to implement.

AI Research 110

AI Research AI Researcher Algorithm Explainability 110

Extreme Tech

MAY 17, 2024

After all this time, the company has added an additional terabyte to its external drives.

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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

MAY 17, 2024

The primary goal of AI is to create interactive systems capable of solving diverse problems, including those in medical AI aimed at improving patient outcomes. Large language models (LLMs) have demonstrated significant problem-solving abilities, surpassing human scores on exams like the USMLE. While LLMs can enhance healthcare accessibility, they still face limitations in real-world clinical settings due to the complexity of clinical tasks involving sequential decision-making, handling uncertain

Large Language Models 110

Large Language Models AI Research AI Researcher ML 110

Artificial Corner

MAY 17, 2024

Made with Midjourney Let’s face it; no matter what our job is, sooner or later, we will have to deal with repetitive tasks like updating a daily report in Excel. Things could get worse if you work for a company that doesn’t work with Python because you wouldn't be able to solve this problem by using only Python. But don’t worry, you still can use your Python skills to automate your Excel reporting without having to convince your boss to migrate to Python!

Automation 83

Automation Python AI AI 83

Marktechpost

MAY 17, 2024

Named Entity Recognition (NER) is vital in natural language processing, with applications spanning medical coding, financial analysis, and legal document parsing. Custom models are typically created using transformer encoders pre-trained on self-supervised tasks like masked language modeling (MLM). However, recent years have seen the rise of large language models (LLMs) like GPT-3 and GPT-4, which can tackle NER tasks through well-crafted prompts but pose challenges due to high inference costs a

Natural Language Processing 99

Natural Language Processing BERT Large Language Models LLM 99