Analytics Vidhya

JANUARY 20, 2024

Welcome to another exciting edition of the AI Quiz of the Day! In today’s edition, we delve into the fascinating world of machine learning with a focus on the popular Scikit-learn library, commonly known as Sklearn. Sklearn is a powerful tool for data analysis and machine learning, offering a wide range of modules that simplify […] The post Quiz of the Day (Scikit-learn) # 14 appeared first on Analytics Vidhya.

Machine Learning 331

Machine Learning Data Analysis AI AI 331

Unite.AI

JANUARY 20, 2024

In a world increasingly influenced by technology, soft robots, medical devices, and wearable technology have become integral parts of our daily lives. These innovations promise enhanced functionality and greater adaptability, making our interactions with technology more seamless and natural. In a significant leap forward in this domain, researchers at the Korea Advanced Institute of Science and Technology (KAIST) have achieved a groundbreaking development: a fluid switch powered by ionic polymer

Robotics 173

Robotics 173

Analytics Vidhya

JANUARY 20, 2024

Crafting Instagram captions is crucial to enhancing engagement rates. Did you know? Adding captions to your Instagram posts boosts engagement from 5.38% to over 6.7%! Interestingly, brief captions (1-20 characters) perform exceptionally well, but there’s a twist – longer captions, exceeding 2000 characters, defy the trend and maintain high performance.

AI 284

AI AI Generative AI Artificial Intelligence 284

Marktechpost

JANUARY 20, 2024

The struggle to balance training efficiency with performance has become increasingly pronounced within computer vision. Traditional training methodologies, often reliant on expansive datasets, substantially burden computational resources, creating a notable barrier for researchers with limited access to high-powered computing infrastructures. This issue is compounded by the fact that many existing solutions, while reducing the sample size for training, inadvertently introduce additional overhead

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 135

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

JANUARY 20, 2024

Introduction Variables are an essential part of any programming language, including Python. They allow us to store and manipulate data within our programs. In Python, variables can have different scopes, which determine their accessibility and visibility within the program. In this article, we will explore the concepts of global and local variables in Python, understand […] The post Global and Local Variables in Python appeared first on Analytics Vidhya.

Python 281

Python Deep Learning Data Science Artificial Intelligence 281

Analytics Vidhya

JANUARY 20, 2024

Introduction Python is a versatile programming language that offers various tools and features to make coding more efficient and organized. One such feature is the classmethod() function, which allows us to define methods that are bound to the class rather than an instance of the class. In this article, we will explore the concept of […] The post Understanding classmethod() in Python appeared first on Analytics Vidhya.

Python 265

Python 265

Marktechpost

JANUARY 20, 2024

The practical deployment of multi-billion parameter neural rankers in real-world systems poses a significant challenge in information retrieval (IR). These advanced neural rankers demonstrate high effectiveness but are hampered by their substantial computational requirements for inference, making them impractical for production use. This dilemma poses a critical problem in IR, as it is necessary to balance the benefits of these large models with their operational feasibility.

BERT 132

BERT Large Language Models LLM AI 132

Extreme Tech

JANUARY 20, 2024

When and how to see the next awe-inspiring total solar eclipse—and how it'll compare with other solar eclipses.

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124

Marktechpost

JANUARY 20, 2024

The Natural Language Generation (NLG) field stands at the intersection of linguistics and artificial intelligence. It focuses on the creation of human-like text by machines. Recent advancements in Large Language Models (LLMs) have revolutionized NLG, significantly enhancing the ability of systems to generate coherent and contextually relevant text. This evolving field necessitates robust evaluation methodologies to assess the quality of the generated content accurately.

Large Language Models 132

Large Language Models LLM Categorization Artificial Intelligence 132

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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.

Bugra Akyildiz

JANUARY 20, 2024

Articles Google wrote an article for AI system for diagnostic medical reasoning and conversation. The blog post introduces AMIE, a research AI system designed for diagnostic medical reasoning and conversations. This summary delves into the technical details of AMIE's architecture, capabilities, and performance: 1. Architectual Principles: Multi-turn dialogue management: AMIE utilizes a state-tracking dialogue manager to engage in multi-turn conversations with clinicians and patients, dynamically

Natural Language Processing 52

Natural Language Processing NLP Data Science Deep Learning 52

Marktechpost

JANUARY 20, 2024

Mixture-of-Experts (MoE) is an architecture based on the “divide and conquer” principle to solve complex tasks. Multiple individual machine learning (ML) models (called experts) work individually based on their specializations to provide the most optimal results. To better understand their use cases, Mistral AI recently released Mixtral, an open-source high-quality MoE model that outperformed or matched GPT-3.5 on most standard benchmarks and was first hosted on Fireworks AI’s

Large Language Models 130

Large Language Models LLM Machine Learning AI 130

Marktechpost

JANUARY 20, 2024

Stable AI has recently released a new state-of-the-art model, Stable-Code-3B , designed for code completion in various programming languages with multiple additional capabilities. The model is a follow-up on the Stable Code Alpha 3B. It is trained on 1.3 trillion tokens including both natural language data and code data in 18 programming languages and codes.

Large Language Models 130

Large Language Models Auto-complete LLM Natural Language Processing 130

Marktechpost

JANUARY 20, 2024

In the constantly evolving field of machine learning, particularly in semantic segmentation, the accurate estimation and validation of uncertainty have become increasingly vital. Despite numerous studies claiming advances in uncertainty methods, there remains a disconnection between theoretical development and practical application. Fundamental questions linger, such as whether it is feasible to separate data-related (aleatoric) and model-related (epistemic) uncertainty in real-world scenarios a

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Machine Learning AI 122

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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

JANUARY 20, 2024

Researchers from CodiumAI have released a new open-source AI code-generating tool , AlphaCodium. The code generation task is more difficult than other natural language tasks as it requires precise syntax, specific code to the problem, and difficult edge cases. The existing models for code generation using a single prompt or chain of thought optimization do not provide much improvement with LLMs.

AI 119

AI AI LLM ML 119

Marktechpost

JANUARY 20, 2024

Efficiently handling complex, high-dimensional data is crucial in data science. Without proper management tools, data can become overwhelming and hinder progress. Prioritizing the development of effective strategies is imperative to leverage data’s full potential and drive real-world impact. Traditional database management systems falter under the sheer volume and intricacy of modern datasets, highlighting the need for innovative data indexing, searching, and clustering approaches.

Machine Learning 119

Machine Learning Data Mining Data Science Algorithm 119

Marktechpost

JANUARY 20, 2024

The emergence of large language models (LLMs) like GPT, Claude, Gemini, LLaMA, Mistral, etc., has greatly accelerated recent advances in natural language processing (NLP). Instruction tweaking is a well-known approach to training LLMs. This method allows LLMs to improve their pre-trained representations to follow human instructions using large-scale, well-formatted instruction data.

Large Language Models 115

Large Language Models Neural Network Natural Language Processing Artificial Intelligence 115

Marktechpost

JANUARY 20, 2024

In handling databases, a challenge is crafting complex SQL queries. This can be difficult, especially for those who may not be SQL experts. The need for a user-friendly solution simplifying the process of generating SQL queries is apparent. While there are existing methods for generating SQL queries, they often require a deep understanding of the underlying database structure and can be time-consuming.

Python 132

Python Artificial Intelligence Artificial Intelligence Machine Learning 132

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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.