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 hurdle for developers aiming to acquire huge data. Traditional web crawlers…
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. With the growing use of AI, concerns regarding accountability, enforceability, and…
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 low-bit types, quantization, and sparsity. The library is predominantly written in…
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 to minimize prediction errors. While this unifying principle offers profound insights…
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 Voyage AI’s evaluations, Voyage-3 outperforms OpenAI’s V3 large model by an…
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, these models often miss critical information from specialized domains, leading to…
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 predefined format (e.g., databases), unstructured data can vary widely in format,…
Foundation models have emerged as transformative digital technologies, introducing new capabilities and risks that have captured unprecedented public attention. However, the current foundation model ecosystem lacks transparency, mirroring issues faced by earlier digital technologies like social media platforms. The 2023 Foundation Model Transparency Index revealed that major developers scored an average of only 37 out…
The Role of ChatGPT in Enhancing Tourist Decision-Making: A Study Based on Accessibility–Diagnosticity Theory: This study examines the influence of ChatGPT on tourist decision-making, focusing on the accessibility and diagnostic quality of its travel recommendations. By leveraging the Accessibility–Diagnosticity Theory (ADT), the analysis highlights ChatGPT’s ability to generate personalized, context-specific content for tourists. The findings…