Analytics Vidhya

JUNE 23, 2024

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.

Data Science 313

Data Science Python 313

Marktechpost

JUNE 23, 2024

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.

Algorithm 133

Algorithm Python Large Language Models Artificial Intelligence 133

Analytics Vidhya

JUNE 23, 2024

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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Marktechpost

JUNE 23, 2024

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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Large Language Models AI AI Artificial Intelligence 129

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

Analytics Vidhya

JUNE 23, 2024

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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Python 248

Artificial Lawyer

JUNE 23, 2024

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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Marktechpost

JUNE 23, 2024

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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Algorithm LLM ML AI 124

Robot Writers AI

JUNE 23, 2024

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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ChatGPT Robotics AI AI 105

Marktechpost

JUNE 23, 2024

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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Automation AI Modeling Large Language Models Natural Language Processing 119

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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.

Machine Learning Mastery

JUNE 23, 2024

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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Machine Learning Data Science 73

Marktechpost

JUNE 23, 2024

Long-context language models (LCLMs) have emerged as a promising technology with the potential to revolutionize artificial intelligence. These models aim to tackle complex tasks and applications while eliminating the need for intricate pipelines that were previously necessary due to context length limitations. However, the development and evaluation of LCLMs face significant challenges.

Artificial Intelligence 115

Artificial Intelligence Artificial Intelligence AI AI 115

How to Learn Machine Learning

JUNE 23, 2024

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.

Machine Learning 52

Machine Learning Python Algorithm Artificial Intelligence 52

TheSequence

JUNE 23, 2024

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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AI Strategy OpenAI AI AI 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

Salmon Run

JUNE 23, 2024

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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Software Engineer Data Scientist Data Science Python 53

Machine Learning Mastery

JUNE 23, 2024

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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Explosion

JUNE 23, 2024

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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NLP 40

Marktechpost

JUNE 23, 2024

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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Natural Language Processing Python ML Artificial Intelligence 133

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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.