Analytics Vidhya

JUNE 9, 2024

Introduction Microsoft Excel and Google Sheets are two of the most basic and commonly used tools for data analysis. They offer various built-in functions that help in making statistical computations in every industry. One such function is the CONFIDENCE function. This formula calculates the confidence intervals for a sample dataset. In this article, we will […] The post How to Calculate Confidence Interval in Excel and Google Sheets appeared first on Analytics Vidhya.

Data Analysis 306

Data Analysis 306

Aiiot Talk

JUNE 9, 2024

Metal fabrication — creating metal structures through cutting, bending and assembling — is crucial in manufacturing. It provides essential components for various industries, from construction to automotive. In recent years, automation and AI have revolutionized many sectors, including metal fabrication. These advanced technologies transform traditional methods, making production more efficient, precise and cost-effective.

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Robotics Automation Machine Learning Algorithm 299

Marktechpost

JUNE 9, 2024

In today’s information age, finding specific information you need can feel like searching for a needle in a haystack. Search engines act as a powerful tool for saving time and effort. Despite having access to a vast amount of information, existing search engines fail to provide effective results. A recent introduction of the open-source project Perplexica addresses the limitations of traditional search engines in providing relevant and insightful results based on user intent.

Large Language Models 142

Large Language Models Algorithm AI AI 142

Towards AI

JUNE 9, 2024

Last Updated on June 10, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. A few months ago, OpenAI introduced a new capability to its API, enhancing its most recent models to accept additional parameters for function calling. These models are now fine-tuned to determine when it’s relevant to call one of these functions.

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OpenAI AI AI Data Science 115

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

Marktechpost

JUNE 9, 2024

Artificial intelligence (AI) research has long aimed to develop agents capable of performing various tasks across diverse environments. These agents are designed to exhibit human-like learning and adaptability, continuously evolving through interaction and feedback. The ultimate goal is to create versatile AI systems that can handle diverse challenges autonomously, making them invaluable in various real-world applications.

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Large Language Models NLP AI AI 133

Marktechpost

JUNE 9, 2024

In large language models (LLMs), choosing the right inference backend for serving LLMs is important. The performance and efficiency of these backends directly impact user experience and operational costs. A recent benchmark study conducted by the BentoML engineering team offers valuable insights into the performance of various inference backends, specifically focusing on vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI (Text Generation Inference).

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LLM Large Language Models Chatbots Artificial Intelligence 130

Robot Writers AI

JUNE 9, 2024

ChatGPT Offers Even More Features for Free Users We live in a world where much of the AI we use seems downright magical — and very often, absolutely free. ChatGPT-maker OpenAI has upped-the-ante on that trend, rolling-out a spate of even more new features they can use for a song. For writers, that means free access to ‘custom-GPTs’ — or custom versions of ChatGPT designed for specific writing tasks like stylized auto-writing, editing and proofing, SEO-optimization and the

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ChatGPT Robotics OpenAI AI Automation 102

Marktechpost

JUNE 9, 2024

Stay ahead in the rapidly evolving world of artificial intelligence with our curated selection of webinars this week. Explore the latest advancements in machine learning and large language models (LLMs), and discover their practical applications across various industries. These sessions offer valuable insights and expert knowledge. Don’t miss out on these opportunities to learn, network, and stay informed.

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Artificial Intelligence Artificial Intelligence Large Language Models Machine Learning 128

Towards AI

JUNE 9, 2024

Last Updated on June 10, 2024 by Editorial Team Author(s): Júlio Almeida Originally published on Towards AI. Extracting structured data from PDFs and images can be challenging, but combining Optical Character Recognition (OCR) with Language Models (LLMs) offers a powerful solution. Within the Azure ecosystem, Azure Document Intelligence is the way to go when analyzing documents.

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Data Extraction LLM AI AI 81

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

AI

Marktechpost

JUNE 9, 2024

Dataset distillation is an innovative approach that addresses the challenges posed by the ever-growing size of datasets in machine learning. This technique focuses on creating a compact, synthetic dataset that encapsulates the essential information of a larger dataset, enabling efficient and effective model training. Despite its promise, the intricacies of how distilled data retains its utility and information content have yet to be fully understood.

Machine Learning 125

Machine Learning Artificial Intelligence Artificial Intelligence AI 125

TheSequence

JUNE 9, 2024

Created Using DALL-E Next Week in The Sequence: Edge 403: Our series about autonomous agents continues covering memory-based planning methods. The research behind the TravelPlanner benchmark for planning in LLMs and the impressive MemGPT framework for autonomous agents. The Sequence Chat: A super cool interview with one of the engineers behind Azure OpenAI Service and Microsoft CoPilot.

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Generative AI LLM Metadata AI 59

Marktechpost

JUNE 9, 2024

Deep learning methods excel in detecting cardiovascular diseases from ECGs, matching or surpassing the diagnostic performance of healthcare professionals. However, due to a lack of interpretability, their “black-box” nature limits clinical adoption. Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features.

Convolutional Neural Networks 125

Convolutional Neural Networks Neural Network Deep Learning Big Data 125

Pickl AI

JUNE 9, 2024

Summary: Mastering mathematics is crucial for excelling in Data Science. Essential topics include statistics, linear algebra, calculus, and probability. Overcoming challenges through practical applications, continuous learning, and resource utilisation is key to success. Introduction Mathematics plays a pivotal role in Data Science. The foundation of the Data Science field rests upon the bedrock of mathematical principles.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

Marktechpost

JUNE 9, 2024

The remarkable performance in different reasoning tasks has been demonstrated by several Large Language Models (LLMs), such as GPT-4, PaLM, and LLaMA. To further increase the functionality and performance of LLMs, there are more effective prompting methods and increasing the model size, both of which boost reasoning performance. The approaches are classified as follows: (i) methods that rely on a single query to complete the reasoning process, such as those that are used for prompt engineering;

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Large Language Models Prompt Engineering Prompt Engineer LLM 119

How to Learn Machine Learning

JUNE 9, 2024

The thought of machine learning and AI will definitely pop into your mind when the conversation is about emerging technologies. Isn’t it so? Why wouldn’t it be? Today, we see tools and systems with machine-learning capabilities in almost every industry. Healthcare organizations are using healthcare AI/ML solutions to achieve operational efficiency and deliver quality patient care.

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Machine Learning Explainable AI Explainability ML 52

Marktechpost

JUNE 9, 2024

In today’s age, learning AI is crucial as companies increasingly rely on it for efficiency, automation, and personalization, yet not everyone is an expert in the field. Salesforce offers short courses on Trailhead, covering essential AI skills to help you become the AI hero your company needs, positioning you for new opportunities and career advancement.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Large Language Models 98

Bugra Akyildiz

JUNE 9, 2024

Articles Epoch AI wrote a very comprehensive survey like blog post on the compute trends across all of the foundational models and key trends in compute. The compute used to train recent AI models has grown at a staggering rate of 4-5x per year from 2010 to May 2024. This rapid growth is observed across frontier models, recent large language models, and models from leading companies.

Deep Learning 40

Deep Learning Algorithm DevOps Data Science 40

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

Unite.AI

JUNE 9, 2024

Cloud storage has become an essential tool for securely storing, accessing, and sharing files from anywhere. With so many options available, it can be challenging to choose the right provider. In this blog post, we'll explore some of the best cloud storage solutions, each offering unique features and benefits to suit various needs. Cloud storage is a technology that allows users to store digital data on remote servers, which can be accessed through the internet.

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Automation Machine Learning Algorithm AI 278