Automatic Speech Recognition (ASR) and Diarization technologies have become essential tools for transforming how machines interpret human speech. These innovations enable accurate transcription, speech segmentation, and speaker identification across various applications like media transcriptions, legal documentation, and customer service automation. By breaking down audio data into comprehensible text and attributing speech to different speakers, these… →
The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. While effective, current Image Forgery Detection and Localization (IFDL) methods need to work on two key challenges: the black-box nature of their detection principles and limited generalization across various tampering methods like Photoshop, DeepFake, and AIGC-Editing. The rise… →
Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. Working with documents of infinite duration, which are typical in contemporary media formats like automated news updates, live-stream e-commerce platforms, and viral short-form movies, makes these problems very clear. Online… →
A popular method when employing Large Language Models (LLMs) for complicated analytical tasks, such as code generation, is to attempt to solve the full problem within the model’s context window. The informational segment that the LLM is capable of processing concurrently is referred to as the context window. The amount of data the model can… →
Natural language processing (NLP) has experienced rapid advancements, with large language models (LLMs) being used to tackle various challenging problems. Among the diverse applications of LLMs, mathematical problem-solving has emerged as a benchmark to assess their reasoning abilities. These models have demonstrated remarkable performance on math-specific benchmarks such as GSM8K, which measures their capabilities to… →
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… →