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.

Big Data 314

Big Data 314

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 128

Large Language Models AI AI AI Modeling 128

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.

Algorithm 313

Algorithm Python Software Development 313

Marktechpost

AUGUST 11, 2024

Large Language Models (LLMs) have demonstrated exceptional performance on isolated code tasks, such as HumanEval and MBPP, but they struggle significantly when faced with the challenge of handling entire code repositories. The key difficulty lies in the inability of LLMs to manage long-context inputs and perform complex reasoning across intricate code structures within large projects.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence LLM Software Engineer 124

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Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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 89

Data Science 89

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

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 122

Data Analysis LLM Large Language Models ChatGPT 122

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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 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 118

Deep Learning Neural Network Large Language Models AI 118

Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

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

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 110

Convolutional Neural Networks Neural Network Robotics AI 110

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 Chatbots 52

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 105

Machine Learning Neural Network Algorithm ML 105

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Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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

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 116

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.

Categorization 300

Categorization AI AI Automation 300

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 105

Large Language Models Artificial Intelligence Artificial Intelligence Algorithm 105

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

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

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.

LLM 108

LLM Neural Network Data Extraction Machine Learning 108

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 59

Large Language Models LLM 59

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 119

Prompt Engineering Prompt Engineer Natural Language Processing Large Language Models 119

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Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

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 115

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.

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LLM Computer Vision Natural Language Processing Large Language Models 119