Analytics Vidhya

AUGUST 11, 2024

Introduction Algorithms and data structures are the foundational elements that can also efficiently support the software development process in programming. Python, an easy-to-code language, has many features like a list, dictionary, and set, which are built-in data structures for the Python language. However, the wizards are unleashed by applying the algorithms in these structures.

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Algorithm Python Software Development 317

Unite.AI

AUGUST 11, 2024

Understanding and analyzing social media conversations is crucial for today's businesses and organizations. AI-powered social listening tools are indispensable assets, offering advanced capabilities to monitor, interpret, and act upon social media data at scale. This article explores the top AI social listening tools that are improving how companies gain insights from online discussions, track brand sentiment, and engage with their audience effectively.

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Categorization AI AI Automation 295

Analytics Vidhya

AUGUST 11, 2024

Introduction As the availability and importance of information as a robust asset increases in the modern global economy, it becomes essential to represent the information appropriately, especially to audiences with a non-technical background. Visualizations close the gap between big data and a more understandable realization of the data provided. Microsoft’s Power BI tool is an […] The post Most Used 10 Power BI Charts appeared first on Analytics Vidhya.

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Big Data 316

Marktechpost

AUGUST 11, 2024

Andrej Karpathy coined a new term, ‘ Jagged Intelligence ‘ ‘ Jagged Intelligence ‘ refers to modern AI systems’ peculiar and often counterintuitive nature, particularly large language models (LLMs). These models have demonstrated remarkable capabilities in performing complex tasks, from solving intricate mathematical problems to generating coherent and contextually relevant text.

Large Language Models 122

Large Language Models AI AI AI Modeling 122

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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

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Machine Learning Mastery

AUGUST 11, 2024

To understand housing prices better, simplicity and clarity in our models are key. Our aim with this post is to demonstrate how straightforward yet powerful techniques in feature selection and engineering can lead to creating an effective, simple linear regression model. Working with the Ames dataset, we use a Sequential Feature Selector (SFS) to identify […] The post The Strategic Use of Sequential Feature Selector for Housing Price Predictions appeared first on MachineLearningMastery.com

Data Science 113

Data Science 113

TheSequence

AUGUST 11, 2024

Created Using DALL-E Next Week in The Sequence: Edge 421: We start a new ( and short) series about state space models which are considered the main viable alternative to transformers. This issue includes a reviews of the famous “Transformers are SSMs” paper and the DeepChecks framework for testing, evaluating monitoring SSMs. Edge 422: We dive into the fascinating NuminaMath model that just won first prize in the AI Math Olympiad.

Robotics 59

Robotics OpenAI LLM ML 59

Marktechpost

AUGUST 11, 2024

Audio, as a medium, holds immense potential for conveying complex information, making it essential for developing systems that can accurately interpret & respond to audio inputs. The field aims to create models that can comprehend a wide range of sounds, from spoken language to environmental noise, and use this understanding to facilitate more natural interactions between humans & machines.

Large Language Models 115

Large Language Models ML AI AI 115

Machine Learning Research at Apple

AUGUST 11, 2024

Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges, which calls for comprehensive evaluation of tool-use capabilities.

Large Language Models 57

Large Language Models LLM 57

Marktechpost

AUGUST 11, 2024

Managing and optimizing API calls to various Large Language Model (LLM) providers can be complex, especially when dealing with different formats, rate limits, and cost controls. Creating consistent interfaces for diverse LLM platforms can often be a struggle, making it challenging to streamline operations, particularly in enterprise environments where efficiency and cost management are critical.

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LLM Large Language Models OpenAI Artificial Intelligence 114

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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

Robotics

Machine Learning Research at Apple

AUGUST 11, 2024

*Work done during internship at Apple Audio-visual speech contains synchronized audio and visual information that provides cross-modal supervision to learn representations for both automatic speech recognition (ASR) and visual speech recognition (VSR). We introduce continuous pseudo-labeling for audio-visual speech recognition (AV-CPL), a semi-supervised method to train an audio-visual speech recognition (AVSR) model on a combination of labeled and unlabeled videos with continuously regenerated

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Marktechpost

AUGUST 11, 2024

Artificial intelligence, particularly natural language processing (NLP), has become a cornerstone in advancing technology, with large language models (LLMs) leading the charge. These models, such as those used for text summarization, automated customer support, and content creation, are designed to interpret and generate human-like text. However, the true potential of these LLMs is realized through effective prompt engineering.

Prompt Engineering 112

Prompt Engineering Prompt Engineer Natural Language Processing Large Language Models 112

Machine Learning Research at Apple

AUGUST 11, 2024

Prompt engineering is an iterative procedure that often requires extensive manual efforts to formulate suitable instructions for effectively directing large language models (LLMs) in specific tasks. Incorporating few-shot examples is a vital and efficacious approach to provide LLMs with precise and tangible instructions, leading to improved LLM performance.

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Prompt Engineering Prompt Engineer Large Language Models LLM 52

Marktechpost

AUGUST 11, 2024

A key goal in the development of AI is the creation of general-purpose assistants utilizing Large Multimodal Models (LMMs). Building AI systems that can work in tandem with people in various settings and with a wide variety of jobs is central to the general-purpose assistant concept. These helpers aren’t confined to just one area of expertise; they’re capable of easily handling customer service, creative projects, personal task management, and even difficult analytical jobs.

Computer Vision 112

Computer Vision LLM Natural Language Processing Large Language Models 112

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AI has transformed how enterprises deliver customer service, enabling faster engagement, problem-solving, and cost savings. However, traditional AI Agents often rely on rigid conversation flows, risking customer trust when conversations stray from predefined paths. These limitations prevent businesses from fully realizing AI’s potential for cost-efficiency and productivity.

Explainability

Pickl AI

AUGUST 11, 2024

Summary: This blog discusses best practices for designing effective fact tables in dimensional models. It covers key considerations such as defining the grain, selecting dimensions, and determining metrics. Additionally, it addresses common challenges and offers practical solutions to ensure that fact tables are structured for optimal data quality and analytical performance.

Data Quality 52

Data Quality Business Intelligence ETL Data Integration 52

Marktechpost

AUGUST 11, 2024

Deep learning has revolutionized various domains, with Transformers emerging as a dominant architecture. However, Transformers must improve the processing of lengthy sequences due to their quadratic computational complexity. Recently, a novel architecture named Mamba has shown promise in building foundation models with comparable abilities to Transformers while maintaining near-linear scalability with sequence length.

Deep Learning 111

Deep Learning Neural Network Large Language Models AI 111

Robot Writers AI

AUGUST 11, 2024

Some Colleges Fully Integrate AI Into Coursework Dismissing concerns that AI is an automated cheating tool, some colleges have decided to fully integrate the tech into their curriculums. The rationale: AI skills have become so crucial to employment in many industries, it’s more important to skill-up students in the tech than to worry about AI’s other, nefarious uses.

Robotics 52

Robotics AI Tools Automation ChatGPT 52

Marktechpost

AUGUST 11, 2024

Traditional biomedical AI models are often specialized and need more flexibility, making them less effective for real-world applications requiring integrating various data types. Generalist AI models, particularly those based on transformers, offer a versatile solution by handling textual and visual data. These models can streamline complex tasks like radiology interpretation and clinical summarization, overcoming the limitations of narrow, task-specific systems.

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BERT AI AI Chatbots 109

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Hubstaff’s new report, The AI Productivity Shift, highlights how 3,000+ professionals and 140,000+ users are transforming the way they work with AI. Adoption is high—85% are using AI—and the potential is just beginning. Teams that integrate AI into daily workflows report 77% faster task completion, 70% improved focus, and stronger results across the board.

AI

How to Learn Machine Learning

AUGUST 11, 2024

Hello dear reader, hope you’re doing super well, whatever time of the day it is for you. In the following post we will be speaking about Machine Learning OCR, a topic we love, and that now with all the LLM Multimodality thing is evolving a lot. In this post we will be covering the basics, so lets get to it! Introduction Machine Learning OCR is an Optical Character Recognition technology embedded with machine learning algorithms.

Machine Learning 52

Machine Learning Algorithm Explainability LLM 52

Marktechpost

AUGUST 11, 2024

RGB-D cameras have a difficult time accurately capturing the depth of transparent objects because of the optical effects of reflection and refraction. Because of this, the depth maps these cameras produce frequently contain inaccurate or missing information. To overcome this problem, recent research has developed sophisticated network designs and advanced visual features intended to recreate the missing depth information.

Convolutional Neural Networks 105

Convolutional Neural Networks Neural Network Robotics AI 105

Marktechpost

AUGUST 11, 2024

Unstructured file types include about 80% of all company data, such as spreadsheets and PDFs. PDFs constitute the de facto standard for corporate knowledge in almost every sector. Every week, dozens of hours are lost because their storage structure is completely unsuitable for usage in digital workflows. It is common practice for businesses to employ conventional methods when developing an extraction pipeline for each unique document layout.

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LLM Neural Network Data Extraction Machine Learning 103

Marktechpost

AUGUST 11, 2024

Traditional molecular representations, primarily focused on covalent bonds, have neglected crucial aspects like delocalization and non-covalent interactions. Existing machine learning models have utilized information-sparse representations, limiting their ability to capture molecular complexity. While computational chemistry has developed robust quantum-mechanical methods, their application in machine learning has been constrained by calculation challenges for complex systems.

Machine Learning 102

Machine Learning Neural Network Algorithm ML 102

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.

AI

Marktechpost

AUGUST 11, 2024

Knowledge Distillation (KD) has become a key technique in the field of Artificial Intelligence, especially in the context of Large Language Models (LLMs), for transferring the capabilities of proprietary models, like GPT-4, to open-source alternatives like LLaMA and Mistral. In addition to improving the performance of open-source models, this procedure is essential for compressing them and increasing their efficiency without significantly sacrificing their functionality.

Large Language Models 102

Large Language Models Algorithm Artificial Intelligence Artificial Intelligence 102

Marktechpost

AUGUST 11, 2024

Data analysis has become increasingly accessible due to the development of large language models (LLMs). These models have lowered the barrier for individuals with limited programming skills, enabling them to engage in complex data analysis through conversational interfaces. LLMs have opened new avenues for extracting meaningful insights from data by simplifying the process of generating code for various analytical tasks.

Data Analysis 115

Data Analysis LLM Large Language Models ChatGPT 115