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 387

Machine Learning Data Analysis AI AI 387

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 306

AI AI Generative AI Artificial Intelligence 306

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: 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.

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 306

Python Deep Learning Data Science Artificial Intelligence 306

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 295

Python 295

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 131

BERT Large Language Models LLM AI 131

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.

124

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 131

Large Language Models LLM Categorization Artificial Intelligence 131

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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?

Generative AI

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 AI AI 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 128

Large Language Models LLM AI AI 128

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 128

Large Language Models Auto-complete LLM Natural Language Processing 128

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 120

Artificial Intelligence Artificial Intelligence Machine Learning AI 120

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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 117

Machine Learning Data Mining Data Science Algorithm 117

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 113

Large Language Models Neural Network Natural Language Processing Artificial Intelligence 113

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 131

Python Artificial Intelligence Artificial Intelligence Machine Learning 131

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 117

AI AI LLM ML 117

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis