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 300

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 259

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.

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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.

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Algorithm Python Software Development 258

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

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.

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Artificial Intelligence Artificial Intelligence LLM Software Engineer 124

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.

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Large Language Models ML AI AI 122

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.

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Large Language Models LLM 59

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.

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Data Analysis LLM Large Language Models ChatGPT 122

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.

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Robotics OpenAI LLM ML 59

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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.

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Prompt Engineer Prompt Engineering Natural Language Processing Large Language Models 119

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

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

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 Engineer Prompt Engineering Large Language Models LLM 52

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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

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.

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Deep Learning Neural Network Large Language Models AI 118

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.

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Data Quality Business Intelligence ETL Data Integration 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

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.

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Robotics AI Tools Automation Chatbots 52

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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

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.

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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.

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Convolutional Neural Networks Neural Network Robotics AI 110

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 108

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

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.

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Machine Learning Neural Network Algorithm ML 105

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.

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Large Language Models Artificial Intelligence Artificial Intelligence Algorithm 105