​[[{“value”:” 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… Read More »Evaluating the Efficacy of Machine Learning in Solving Partial Differential Equations: Addressing Weak Baselines and Reporting Biases Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. However, manually curating these datasets from the web is labor-intensive, inefficient, and often unscalable, creating a significant… Read More »Crawl4AI: Open-Source LLM Friendly Web Crawler and Scrapper Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The intersection of contract law, artificial intelligence (AI), and smart contracts tells a fascinating yet complex story. As technology takes on a more prominent role in transactions and decision-making, it raises crucial questions about how foundational legal concepts like offer, acceptance, and intent apply.… Read More »AI and Contract Law: Smart Contracts and Automated Decision-Making Aabis Islam Artificial Intelligence Category – MarkTechPost

​[[{“value”:” PyTorch has officially launched torchao, a comprehensive native library designed to optimize PyTorch models for better performance and efficiency. The launch of this library is a milestone in deep learning model optimization, providing users with an accessible toolkit that leverages advanced techniques such as… Read More »torchao: A PyTorch Native Library that Makes Models Faster and Smaller by Leveraging Low Bit Dtypes, Quantization and Sparsity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Free Energy Principle (FEP) and its extension, Active Inference (AIF), present a unique approach to understanding self-organization in natural systems. These frameworks propose that agents use internal generative models to predict observations from unknown external processes, continuously updating their perceptive and control states… Read More »RxEnvironments.jl: A Reactive Programming Approach to Complex Agent-Environment Simulations in the Julia Language Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual… Read More »Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock Eashan Kaushik AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Andreas Astrom from Northpower. Northpower provides reliable and affordable electricity and fiber internet services to customers in the Northland region of New Zealand. As an electricity distributor, Northpower aims to improve access, opportunity, and prosperity for its communities by… Read More »How Northpower used computer vision with AWS to automate safety inspection risk assessments Scott Patterson AWS Machine Learning Blog

​[[{“value”:” Voyage AI is proud to announce the release of its new generation of embedding models, Voyage-3 and Voyage-3-Lite. The Voyage-3 and Voyage-3-Lite models are designed to outperform existing industry standards in various domains, including technology, law, finance, multilingual applications, and long-context understanding. According to… Read More »Voyage AI Introduces Voyage-3 and Voyage-3-Lite: A New Generation of Small Embedding Models that Outperforms OpenAI v3 Large by 7.55% Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex reasoning. However, despite their capabilities, LLMs need help with tasks requiring domain-specific knowledge, especially in healthcare, law, and finance. When trained on large datasets,… Read More »Microsoft Researchers Introduce Advanced Query Categorization System to Enhance Large Language Model Accuracy and Reduce Hallucinations in Specialized Fields Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As the volume of unstructured data grows in various fields, including healthcare, legal, and finance, the demand for efficient, accurate document processing solutions increases. Handling unstructured data is challenging due to its inherent lack of structure and consistency. Unlike structured data, which follows a… Read More »Researchers at UC Berkeley Developed DocETL: An Open-Source Low-Code AI System for LLM-Powered Data Processing Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost