Wed.Jul 17, 2024

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Understanding Duck Typing in Python

Analytics Vidhya

Introduction Imagine a world where the type of an object doesn’t matter as long as it performs the expected actions. This approach makes your code more flexible and easier to manage. Enter duck typing—a powerful programming model that focuses on what an object can do rather than what it is. This article will show you […] The post Understanding Duck Typing in Python appeared first on Analytics Vidhya.

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The Transformative Impact of Generative AI on Software Development and Quality Engineering

Unite.AI

Over the years, the quality of software and the processes by which it is built have gained traction. This has led enterprises to transition from Quality Assurance (QA) to Quality Engineering (QE). With this, enterprises have started to connect the results of the quality function with overall business outcomes. With the increased hype and adoption of newer technologies such as generative AI , it has become more critical to understand the implications for processes, people, and technology and the

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The 10 Best Books on Time Series Analysis

Analytics Vidhya

Introduction Finding your way around the complex realm of time series analysis might be likened to discovering a gold mine of information concealed in data. For anybody interested in learning more about this intriguing topic, the trip frequently starts with the correct guidebooks. The books you select can greatly affect your level of knowledge in […] The post The 10 Best Books on Time Series Analysis appeared first on Analytics Vidhya.

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10 Best AI Character Generators (July 2024)

Unite.AI

Artificial intelligence has significantly advanced the field of character creation, providing artists, writers, and developers with powerful tools to realize their concepts. AI character generators have emerged as efficient solutions for creating detailed, unique characters rapidly. These tools, ranging from text-prompt systems to image-based transformations, are redefining character design across various media.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Conditional Aggregation in SQL

Analytics Vidhya

Introduction The realm of data offers vast capabilities and numerous challenges. Whether you are a data analyst, data scientist, or data engineer, summarizing and aggregating data is essential. This skill helps distill complex information into meaningful insights, driving informed decisions across various industries like finance, healthcare, retail, and technology.

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What is Skeleton of Thoughts and its Python Implementation?

Analytics Vidhya

Introduction Imagine having the full potential of your favorite AI assistant, transforming it from a helpful tool into a creative powerhouse. Picture a world where your interactions with Large Language Models(LLMs) are efficient, profoundly intuitive, and impactful. Enter the Skeleton of Thoughts (SoT) – a groundbreaking framework poised to revolutionize artificial intelligence and natural language […] The post What is Skeleton of Thoughts and its Python Implementation?

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Nvidia AI Releases BigVGAN v2: A State-of-the-Art Neural Vocoder Transforming Audio Synthesis

Marktechpost

In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by converting Mel spectrograms into high-fidelity waveforms. This team has thoroughly examined the main enhancements and ideas that set BigVGAN v2 apart. One of BigVGAN v2’s most notable features is its unique inference CUDA kernel, which combines fused upsampling and activation processes.

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Textual Statistical Analysis Using pyNLPL (Pineapple) Library

Analytics Vidhya

Introduction Statistical Analysis of text is one of the important steps of text pre-processing. It helps us understand our text data in a deep, mathematical way. This type of analysis can help us understand hidden patterns, and the weight of specific words in a sentence, and overall, helps in building good language models. The pyNLPL […] The post Textual Statistical Analysis Using pyNLPL (Pineapple) Library appeared first on Analytics Vidhya.

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Decoding How AI-Powered Upscaling on NVIDIA RTX Improves Video Quality

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC and workstation users. Video is everywhere — nearly 80% of internet bandwidth today is used to stream video from content providers and social networks. While screens have become bigger and support higher resolutions, nearly all video is only 1080p quality or lower.

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Optimizing The Modern Developer Experience with Coder

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.

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Learning Path to Become a Prompt Engineering Specialist

Analytics Vidhya

Introduction As the field of artificial intelligence (AI) continues to evolve, prompt engineering has emerged as a promising career. The skill for effectively interacting with large language models (LLMs) is one many are trying to master today. Do you wish to do the same? Are you wondering where to start and how to go about […] The post Learning Path to Become a Prompt Engineering Specialist appeared first on Analytics Vidhya.

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Amazon SageMaker unveils the Cohere Command R fine-tuning model

AWS Machine Learning Blog

AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere Command R is a scalable, frontier LLM designed to handle enterprise-grade workloads with ease.

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What is the XLOOKUP Function in Excel?

Analytics Vidhya

Explore the XLOOKUP function in Excel, a versatile and modern alternative to VLOOKUP and HLOOKUP, with advanced capabilities, benefits & more

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A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion

Towards AI

Last Updated on July 19, 2024 by Editorial Team Author(s): Anmol Tomar Originally published on Towards AI. A one-stop solution for understanding Descriptive StatisticsImage generated through AI by Author In a world filled with data, statistics is the compass guiding us through the huge seas of numbers. Statistics play an important role in predicting the weather, analyzing market trends, or assessing public health.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Fundamentals of Python Programming for Beginners

Analytics Vidhya

Introduction If you’ve been in the data field for quite some time, you’ve probably noticed that some technical skills are becoming more dominant, and the data backs this up. Until the release of NumPy in 2005, Python was considered slow for numeric analysis. But Numpy changed that. Pandas, in 2008, made Python the best language […] The post Fundamentals of Python Programming for Beginners appeared first on Analytics Vidhya.

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MELLE: A Novel Continuous-Valued Tokens-based Language Modeling Approach for Text-to-Speech Synthesis (TTS)

Marktechpost

In the realm of Large language models (LLMs), there has been a significant transformation in text generation, prompting researchers to explore their potential in audio synthesis. The challenge lies in adapting these models for text-to-speech (TTS) tasks while maintaining high-quality output. Current methodologies, such as neural codec language models like VALL-E, face several limitations.

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Leya Bags $25m As Legal GenAI Funding Grows

Artificial Lawyer

Leya has raised $25m in a Series A funding round. It’s one of a number of legal genAI-based startups recently to secure significant funding, from Harvey to LegalFly to Hebbia.

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Mistral AI Launches Codestral Mamba 7B: A Revolutionary Code LLM Achieving 75% on HumanEval for Python Coding

Marktechpost

In a notable tribute to Cleopatra, Mistral AI has announced the release of Codestral Mamba 7B , a cutting-edge language model (LLM) specialized in code generation. Based on the Mamba2 architecture, this new model marks a significant milestone in AI and coding technology. Released under the Apache 2.0 license, Codestral Mamba 7B is available for free use, modification, and distribution, promising to open new avenues in AI architecture research.

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The Cloud Development Environment Adoption Report

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.

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Important LLMs Papers for the Week from 08/07 to 14/07

Towards AI

Last Updated on July 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Second Week of July 2024.

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PredBench: A Comprehensive AI Benchmark for Evaluating 12 Spatio-Temporal Prediction Methods Across 15 Diverse Datasets with Multi-Dimensional Analysis

Marktechpost

Spatiotemporal prediction is a critical area of research in computer vision and artificial intelligence. It leverages historical data to predict future events. This technology has significant implications across various fields, such as meteorology, robotics, and autonomous vehicles. It aims to develop accurate models to forecast future states from past and present data, impacting applications from weather forecasting to traffic flow management.

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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning Blog

As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily accessible. This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor ,

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UCSD Researchers Propose a General Variational Inference-based Framework (MCD) to Infer the Underlying Causal Models as well as the Mixing Probability of Each Sample

Marktechpost

Researchers are struggling with the challenge of causal discovery in heterogeneous time-series data, where a single causal model cannot capture diverse causal mechanisms. Traditional methods for causal discovery from time-series data, based on structural causal models, conditional independence tests, and Granger causality, typically assume a uniform causal structure across the entire dataset.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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GenAI Legal Research? Bloomberg Law Can Do It Too

Artificial Lawyer

We’ve heard about Thomson Reuters, LexisNexis, and vLex providing genAI legal research tools, but Bloomberg Law wants in on this too. It has now enhanced.

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AutoBencher: A Metrics-Driven AI Approach Towards Constructing New Datasets for Language Models

Marktechpost

This paper addresses the challenge of effectively evaluating language models (LMs). Evaluation is crucial for assessing model capabilities, tracking scientific progress, and informing model selection. Traditional benchmarks often fail to highlight novel performance trends and are sometimes too easy for advanced models, providing little room for growth.

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GraphRAG Is the Logical Step From RAG — So Why the Sudden Hype?

Towards AI

Author(s): Daniel Voyce Originally published on Towards AI. Photo by Steve Johnson on Unsplash It seems like everyone is currently talking about GraphRAG as the successor to RAG (Retrieval-Augmented Generation) in the Generative AI / LLM world right now. But is it actually that much of a surprise? I posit that its not and that its actually a very logical progression when you look at the strengths and weaknesses of LLMs.

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Microsoft Researchers Propose Auto Evol-Instruct: An End-to-End AI Framework that Evolves Instruction Datasets Using Large Language Models without Any Human Effort

Marktechpost

Large language models (LLMs) are central to advancements in artificial intelligence, focusing on enhancing the models’ ability to follow detailed instructions. This area of research encompasses methods to improve the quality and complexity of datasets used for training LLMs, ultimately leading to more sophisticated and versatile AI systems. The importance of these improvements cannot be overstated, as they directly impact the models’ performance across various tasks, from natural lan

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Top Important Computer Vision Papers for the Week from 08/07 to 14/07

Towards AI

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition.

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NVIDIA Researchers Introduce Flextron: A Network Architecture and Post-Training Model Optimization Framework Supporting Flexible AI Model Deployment

Marktechpost

Large language models (LLMs) such as GPT-3 and Llama-2 have made significant strides in understanding and generating human language. These models boast billions of parameters, allowing them to perform complex tasks accurately. However, the substantial computational resources required for training and deploying these models present significant challenges, particularly in resource-limited environments.

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LexisNexis Launches ‘Nexis+ AI’ For Corporate Research

Artificial Lawyer

You’ve heard of Lexis+ AI for legal research, well, this is not that. This is Nexis+ AI – and its purpose, while also running on genAI, is quite different.

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