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 319

AI AI Generative AI Artificial Intelligence 319

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 133

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 133

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

AI

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 318

Python Deep Learning Data Science Artificial Intelligence 318

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 306

Python 306

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 130

BERT Large Language Models LLM AI 130

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 130

Large Language Models LLM Categorization Artificial Intelligence 130

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

LLM

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 126

Large Language Models LLM Machine Learning AI 126

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 126

Large Language Models Auto-complete LLM Natural Language Processing 126

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 117

Artificial Intelligence Artificial Intelligence Machine Learning AI 117

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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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 114

AI AI LLM ML 114

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 114

Machine Learning Data Mining Data Science Algorithm 114

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 110

Large Language Models Neural Network Natural Language Processing Artificial Intelligence 110

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 100

Python Artificial Intelligence Artificial Intelligence Machine Learning 100

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

Automation