Analytics Vidhya

SEPTEMBER 28, 2024

Introduction Suppose you are a scientist or an engineer solving numerous problems – ordinary differential equations, extremal problems, or Fourier analysis. Python is already your favorite type of language given its easy usage in graphics and simple coding ability. But now, these are complex enough tasks, and therefore, one requires a set of powerful tools. […] The post Understanding SciPy Library in Python appeared first on Analytics Vidhya.

Python 294

Python Data Analysis Machine Learning 294

Unite.AI

SEPTEMBER 28, 2024

Artificial Intelligence has revolutionized the world of digital art , and Adobe Photoshop is at the forefront of this transformation. It's crazy how much these AI features in Photoshop reduce editing time , and I'm excited to show you my top three AI tools on the platform! Whether you've been using Photoshop for years like me or are just starting out, integrating AI into your Photoshop workflow will take your creations to the next level.

AI Tools 236

AI Tools AI AI Artificial Intelligence 236

Analytics Vidhya

SEPTEMBER 28, 2024

Introduction The Time Series Foundation Model, or TimesFM in short, is a pretrained time-series foundation model developed by Google Research for forecasting univariate time-series. As a pretrained foundation model, it simplifies the often complex process of time-series analysis. Google Research says that their time-series foundation model exhibits zero-shot forecasting capabilities that rival the accuracy of […] The post TimesFM for Time-Series Forecasting appeared first on Analytics Vidh

243

243

Unite.AI

SEPTEMBER 28, 2024

I’m a big Googler. I can easily spend hours searching for answers to random questions or exploring new topics out of curiosity. Other times, I don’t want to find myself lost in the vast sea of search results. I want fast, organized, accurate answers. Recently, I came across You.com. It’s basically a search engine powered by AI , and it’s changing the way I search!

AI Tools 162

AI Tools LLM Python Data Analysis 162

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

SEPTEMBER 28, 2024

Introduction In the past week, artificial intelligence (AI) has continued to evolve at a fast pace, with major updates from key players like OpenAI, Google, Meta, and Microsoft. From new AI models and tools to shifts in leadership and policy discussions, these developments are shaping how businesses, researchers, and policymakers approach the future of AI. […] The post AV Bytes: Meta’s Llama 3.2, Google’s Gemini 1.5, and Innovations in Accessibility This Week appeared first on Analyt

Artificial Intelligence 177

Artificial Intelligence Artificial Intelligence OpenAI AI Modeling 177

Extreme Tech

SEPTEMBER 28, 2024

Many nebulae have high-energy stars inside, or a massive explosion in their past—but some are downright chill. Frosty, even.

109

109

Marktechpost

SEPTEMBER 28, 2024

The advancement of large language models (LLMs) in natural language processing has significantly improved various domains. As more complex models are developed, evaluating their outputs accurately becomes essential. Traditionally, human evaluations have been the standard approach for assessing quality, but this process is time consuming and needs to be more scalable for the rapid pace of model development.

Large Language Models 126

Large Language Models LLM Natural Language Processing Automation 126

Bugra Akyildiz

SEPTEMBER 28, 2024

Articles Microsoft Research wrote a blog post introduces Eureka, an open-source framework for evaluating large foundation models in artificial intelligence. Eureka aims to provide a standardized approach to assessing AI model capabilities beyond single-score reporting and rankings. The framework focuses on challenging and non-saturated capabilities(the ones that are not close to being perfect).

Large Language Models 52

Large Language Models LLM Python Artificial Intelligence 52

Marktechpost

SEPTEMBER 28, 2024

Machine Learning ML offers significant potential for accelerating the solution of partial differential equations (PDEs), a critical area in computational physics. The aim is to generate accurate PDE solutions faster than traditional numerical methods. While ML shows promise, concerns about reproducibility in ML-based science are growing. Issues like data leakage, weak baselines, and insufficient validation undermine performance claims in many fields, including medical ML.

Machine Learning 111

Machine Learning Neural Network ML Algorithm 111

Advertisement

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

SEPTEMBER 28, 2024

AMD has recently introduced its new language model, AMD-135M or AMD-Llama-135M , which is a significant addition to the landscape of AI models. Based on the LLaMA2 model architecture, this language model boasts a robust structure with 135 million parameters and is optimized for performance on AMD’s latest GPUs, specifically the MI250. This release marks a crucial milestone for AMD in its endeavor to establish a strong foothold in the competitive AI industry.

Natural Language Processing 111

Natural Language Processing NLP AI Modeling ML 111

Marktechpost

SEPTEMBER 28, 2024

The research evaluates the reliability of large language models (LLMs) such as GPT, LLaMA, and BLOOM, extensively used across various domains, including education, medicine, science, and administration. As the usage of these models becomes more prevalent, understanding their limitations and potential pitfalls is crucial. The research highlights that as these models increase in size and complexity, their reliability does not necessarily improve.

Large Language Models 103

Large Language Models LLM ML Artificial Intelligence 103

Marktechpost

SEPTEMBER 28, 2024

Integrating AI-powered code-generating technologies, such as ChatGPT and GitHub Copilot, is revolutionizing programming education. These tools, by providing real-time assistance to developers, accelerate the development process, enhance problem-solving, and make coding more accessible. Their increasing prevalence has sparked a growing interest in their influence on how students learn programming.

ChatGPT 90

ChatGPT AI Tools ML AI 90

Marktechpost

SEPTEMBER 28, 2024

Text-to-image (T2I) models have seen rapid progress in recent years, allowing the generation of complex images based on natural language inputs. However, even state-of-the-art T2I models need help accurately capture and reflect all the semantics in given prompts, leading to images that may miss crucial details, such as multiple subjects or specific spatial relationships.

Large Language Models 69

Large Language Models AI AI ML 69

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Marktechpost

SEPTEMBER 28, 2024

The adversarial attacks and defenses for LLMs encompass a wide range of techniques and strategies. Manually crafted and automated red teaming methods expose vulnerabilities, while white box access reveals potential for prefilling attacks. Defense approaches include RLHF, DPO, prompt optimization, and adversarial training. Inference-time defenses and representation engineering show promise but face limitations.

Categorization 64

Categorization AI AI AI Modeling 64

Marktechpost

SEPTEMBER 28, 2024

Multi-View and Multi-Scale Alignment for Mammography Contrastive Learning: Contrastive Language-Image Pre-training (CLIP) has shown potential in medical imaging, but its application to mammography faces challenges due to limited labeled data, high-resolution images, and imbalanced datasets. This study introduces the first full adaptation of CLIP to mammography through a new framework called Multi-view and Multi-scale Alignment (MaMA).

Data Scarcity 59

Data Scarcity LLM ML Computer Vision 59