Sun.Jun 09, 2024

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Robotic Automation and AI in Metal Fabrication: A Synergistic Relationship

Aiiot Talk

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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How to Calculate Confidence Interval in Excel and Google Sheets

Analytics Vidhya

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.

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Perplexica: The Open-Source Solution Replicating Billion Dollar Perplexity for AI Search Tools

Marktechpost

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.

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Hands-On Introduction to Open AI Function Calling

Towards AI

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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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From Limited Tasks to General AI: AGENTGYM Evolves Agents with Diverse Environments and Autonomous Learning

Marktechpost

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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A Comprehensive Study by BentoML on Benchmarking LLM Inference Backends: Performance Analysis of vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI

Marktechpost

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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Phi-3 and Azure: PDF Data Extraction | ExtractThinker

Towards AI

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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Weekly Artificial Intelligence AI Webinars Alert (June 10-16, 2024): LLMs, RAG, Web Apps, AWS, GPT-4o, and many more…

Marktechpost

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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Datasets Matter: The Battle Between Open and Closed Generative AI is Not Only About Models Anymore

TheSequence

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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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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What is Dataset Distillation Learning? A Comprehensive Overview

Marktechpost

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.

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Mastering Mathematics For Data Science

Pickl AI

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.

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Top Artificial Intelligence AI Courses from Salesforce

Marktechpost

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.

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Foundational Models and Compute Trends

Bugra Akyildiz

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.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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10 Best Cloud Storage Solutions (June 2024)

Unite.AI

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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The Goodies Keep Coming

Robot Writers AI

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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xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

Marktechpost

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.

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Top 5 Machine Learning Trends to Watch in 2024

How to Learn Machine Learning

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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Buffer of Thoughts (BoT): A Novel Thought-Augmented Reasoning AI Approach for Enhancing Accuracy, Efficiency, and Robustness of LLMs

Marktechpost

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;