Sat.Jan 20, 2024

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Quiz of the Day (Scikit-learn) # 14

Analytics Vidhya

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.

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Researchers Make Breakthrough in Artificial Muscle Technology

Unite.AI

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
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7 Best AI Instagram Caption Generators 2024

Analytics Vidhya

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
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Researchers from the National University of Singapore and Alibaba Propose InfoBatch: A Novel Artificial Intelligence Framework Aiming to Achieve Lossless Training Acceleration by Unbiased Dynamic Data Pruning

Marktechpost

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

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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Global and Local Variables in Python

Analytics Vidhya

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.

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Understanding classmethod() in Python

Analytics Vidhya

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
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Can We Optimize AI for Information Retrieval with Less Compute? This AI Paper Introduces InRanker: a Groundbreaking Approach to Distilling Large Neural Rankers

Marktechpost

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
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When Is the Next Total Solar Eclipse?

Extreme Tech

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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Assessing Natural Language Generation (NLG) in the Age of Large Language Models: A Comprehensive Survey and Taxonomy

Marktechpost

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.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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Google announces AI system for diagnostic medical reasoning and conversation

Bugra Akyildiz

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

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Fireworks AI Introduces FireAttention: A Custom CUDA Kernel Optimized for Multi-Query Attention Models

Marktechpost

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

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Stability AI Releases Stable Code 3B: A 3 Billion Parameter Large Language Model (LLM) that Allows Accurate and Responsive Code Completion

Marktechpost

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.

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This AI Paper from Germany Proposes ValUES: An Artificial Intelligence Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

Marktechpost

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

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Codium AI Proposes AlphaCodium: A New Advanced Approach to Code Generation by LLMs Beating DeepMind’s AlphaCode

Marktechpost

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.

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Faiss: A Machine Learning Library Dedicated to Vector Similarity Search, a Core Functionality of Vector Databases

Marktechpost

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.

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Parameter-Efficient Sparsity Crafting (PESC): A Novel AI Approach to Transition Dense Models to Sparse Models Using a Mixture-of-Experts (Moe) Architecture

Marktechpost

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.

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Meet Vanna: An Open-Source Python RAG (Retrieval-Augmented Generation) Framework for SQL Generation

Marktechpost

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 101
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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.