Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various identification strategies to overcome this obstacle by recreating natural experiment conditions. The instrumental variables (IV) method has emerged as a leading approach, with researchers discovering IVs in diverse settings and justifying their… →
ChatGPT, a sophisticated language model developed by OpenAI, is revolutionizing the banking industry by providing a diverse array of applications that enhance customer service, streamline internal processes, and support strategic decision-making. The integration of artificial intelligence in banking is positioning ChatGPT as an invaluable tool for bankers seeking to improve efficiency, reduce costs, and deliver… →
Google has launched the “gemma-2-2b-jpn-it” model, a new addition to its Gemma family of language models. The model is designed to cater specifically to the Japanese language and showcases the company’s continued investment in advancing large language model (LLM) capabilities. Gemma-2-2b-jpn-it stands out as a text-to-text, decoder-only large language model with open weights, which means… →
LLMs show great promise as advanced information access engines thanks to their ability to generate long-form, natural language responses. Their large-scale pre-training on vast datasets allows them to answer various questions. Techniques like instruction tuning and reinforcement learning from human feedback further improve the coherence and detail of their responses. However, LLMs need help with… →
OpenAI’s ChatGPT Canvas is an AI-powered workspace that integrates ChatGPT to assist coders and writers in real-time by providing intelligent suggestions, code completions, and content enhancements within a customizable environment that understands context and adapts to individual styles; featuring real-time collaboration, productivity tools like version control and task management, and supporting multiple programming languages and… →
Meta AI research team has introduced MovieGen, a suite of state-of-the-art (SotA) media foundation models that are set to revolutionize how we generate and interact with media content. This super cool development encompasses innovations in text-to-video generation, video personalization, and video editing, all while supporting personalized video creation using user-provided images. At the core of… →
Omni-modal large language models (LLMs) are at the forefront of artificial intelligence research, seeking to unify multiple data modalities such as vision, language, and speech. The primary goal is to enhance the interactive capabilities of these models, allowing them to perceive, understand, and generate outputs across diverse inputs, just as a human would. These advancements… →
The AI research organization Zyphra has recently unveiled two groundbreaking language models, Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct. These models are part of the Zamba2 series and are significant advancements in natural language processing and AI-based instruction. Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct are designed to deliver enhanced multi-turn chat capabilities and exceptional instruction-following abilities, providing cutting-edge solutions for various applications… →
Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually extracting relevant details can be time-consuming, prone to errors, and inefficient, especially when dealing with large amounts of data. As unstructured data continues to grow exponentially, traditional manual extraction methods have… →
Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance. The ability to handle extensive input sequences is crucial for enhancing AI agents’ functionality and improving retrieval augmented generation techniques. While… →