Sun.Jun 23, 2024

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Similarity and Dissimilarity Measures in Data Science

Analytics Vidhya

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are. In this article, we will explore the […] The post Similarity and Dissimilarity Measures in Data Science appeared first on Analytics Vidhya.

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BM25S: A Python Package that Implements the BM25 Algorithm for Ranking Documents Based on a Query

Marktechpost

In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three key challenges: relevance assessment, document ranking, and efficiency. The recently introduced Python library that implements the BM25 algorithm, BM25S addresses the challenge of efficient and effective information retrieval, particularly the need for ranking documents in response to user queries.

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What are SQL DCL(Data Control Language) Commands?

Analytics Vidhya

Introduction Data Control Language (DCL) commands are fundamental in SQL for managing access and permissions within the database. These commands allow database administrators to regulate data access for various users, ensuring security and effective data management. This article discusses the primary DCL commands, their purposes, and practical applications.

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Google DeepMind Introduces Video-to-Audio V2A Technology: Synchronizing Audiovisual Generation

Marktechpost

Sound is indispensable for enriching human experiences, enhancing communication, and adding emotional depth to media. While AI has made significant progress in various domains, incorporating sound in video-generating models with the same sophistication and nuance as human-created content remains challenging. Producing scores for these silent videos is a significant next step in making generated films.

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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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Self in Python Class

Analytics Vidhya

Introduction If you’ve been learning Python, I’m sure you have come across the term ‘self.’ This small word plays a big role in how Python classes work. Whenever you create a method inside a class, you use ‘self’ to refer to the instance that calls the method. This helps you access and modify the instance […] The post Self in Python Class appeared first on Analytics Vidhya.

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The Myth of the ‘Cheery, AI Collaborator’

Robot Writers AI

AI Reduces 60+ Copywriting Team to One Editor In yet another bone-chilling example of how AI is hollowing-out copywriting teams, this BBC report details how AI turned a 60+ copywriting team into a one-man operation. First introduced by the publisher in 2023, AI slowly began to usurp more and more jobs until by 2024, everyone on the team was vaporized save for one, lone editor.

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GenAI Hallucinations? Lawyers Aren’t Perfect Either

Artificial Lawyer

By Anonymous. Lawyers make mistakes. That’s why they take out professional liability insurance. This raises the question in the wake of the Stanford University study.

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Tips for Choosing the Right Machine Learning Model for Your Data

Machine Learning Mastery

Introduction Choosing the right machine learning model for your data is of major importance in any data science project. The model you select will have a significant impact on the insights you derive from your data, and ultimately determine the usefulness of a project. In this article, we aim to provide practical tips to help […] The post Tips for Choosing the Right Machine Learning Model for Your Data appeared first on MachineLearningMastery.com.

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Integrating Coding Basics into Machine Learning Education

How to Learn Machine Learning

One level up in the rapidly advancing field of artificial intelligence comes machine learning, which is a critical technology in industry and regular life. At its very root, machine learning is substantially assisted by foundational coding skills. Understanding how algorithms work, processing data, or developing models needs to be based on clear reasons and familiarity with the basics of coding.

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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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Beyond OpenAI: Apple’s On-Device AI Strategy

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 405: Our series about autonomous agents dives into short term memory augmentation in agents. We discuss Google’s recent Inifini-Attention architecture for virtually unlimited context windows and dives into the famous AutoGPT framework. Edge 406: We dive into OpenAI’s recently published paper on AI interpretability.

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Stable Diffusion Project: Creating Illustration

Machine Learning Mastery

Many people write in their jobs. Not everyone is a novel writer; some write technical documentation, business plans, news articles, and even blog posts. In those writings, illustrations are not essential but often good to have. They are decorations, interpretations, or visual explanations of the text. However, you probably do not want to spend too […] The post Stable Diffusion Project: Creating Illustration appeared first on MachineLearningMastery.com.

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Book Report: Pandas Workout

Salmon Run

Unlike many Data Scientists, I didn't automatically reach for Pandas when I needed to analyze data. I came upon this discipline (Data Science) as a Java Software Engineer who used Python for scripting, so I was quite comfortable operating on JSON / CSV / text files directly, loading data into relational databases and running SQL against them, and building visualizations with Matplotlib.

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Newsletter June 2023

Explosion

The latest edition of our newsletter, featuring real-world examples of NLP, how to distill LLMs into smaller & faster components and why there’s no need to compromise on best practices and privacy.

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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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Cephalo: A Series of Open-Source Multimodal Vision Large Language Models (V-LLMs) Specifically in the Context of Bio-Inspired Design

Marktechpost

Materials science focuses on studying and developing materials with specific properties and applications. Researchers in this field aim to understand the structure, properties, and performance of materials to innovate and improve existing technologies and create new materials for various applications. This discipline combines chemistry, physics, and engineering principles to address challenges and improve materials used in aerospace, automotive, electronics, and healthcare.

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DigiRL: A Novel Autonomous Reinforcement Learning RL Method to Train Device-Control Agents

Marktechpost

Advances in vision-language models (VLMs) have shown impressive common sense, reasoning, and generalization abilities. This means that developing a fully independent digital AI assistant, that can perform daily computer tasks through natural language is possible. However, better reasoning and common-sense abilities don’t automatically lead to intelligent assistant behavior.

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Researchers from the University of Maryland Introduce GenQA Instruction Dataset: Automating Large-Scale Instruction Dataset Generation for AI Model Finetuning and Diversity Enhancement

Marktechpost

Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. However, creating these large, diverse datasets is complex and expensive, often requiring substantial human input. This challenge has created a gap between academic research, which typically uses smaller datasets, and industrial applications, which benefit from vast, finely-tuned datasets.

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Toucan TTS: An MIT Licensed Text-to-Speech Advanced Toolbox with Speech Synthesis in More Than 7000 Languages

Marktechpost

In recent research, the Institute for Natural Language Processing (IMS) at the University of Stuttgart, Germany, has introduced ToucanTTS, significantly advancing the field of text-to-speech (TTS) technology. With support for speech synthesis in more than 7,000 languages, this new toolset is capable of completely transforming the field of multilingual TTS systems.

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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.