​ Large Language Models (LLMs) have been in the news throughout the year and for the right reasons. Their unprecedented abilities in processing multimodal information have paved the way for breakthroughs in diverse fields, making them a potent tool for solving numerous problems. In order… Read More »This Paper from MBZUAI Introduces 26 Guiding Principles Designed to Streamline the Process of Querying and Prompting Large Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ When we talk about artificial intelligence, Large Language Models (LLMs) stand as pivotal tools, empowering machines to comprehend and generate text with human-like fluency. These models, crafted through sophisticated deep-learning techniques, serve as the backbone for diverse applications, ranging from chatbots to creative writing… Read More »10+ Open-Source Tools for LLM Applications Development Manya Goyal Artificial Intelligence Category – MarkTechPost

​ Time series forecasting is a critical area with wide-ranging applications in finance, weather prediction, and demand forecasting. Despite significant advancements, challenges persist, particularly in creating models that handle complex data features like trends, noise, and evolving relationships. The introduction of TSPP, a comprehensive benchmarking… Read More »Nvidia Researchers Developed and Open-Sourced a Standardized Machine Learning Framework for Time Series Forecasting Benchmarking Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In the ever-expanding Federated Learning (FL), a critical challenge surfaces—optimizing hyperparameters essential for refining machine learning models. The intricate interplay of data heterogeneity, system diversity, and stringent privacy constraints introduces significant noise during hyperparameter tuning, questioning the efficacy of existing methods. Within hyperparameter tuning… Read More »This AI Paper from CMU Unveils New Approach to Tackling Noise in Federated Hyperparameter Tuning Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Natural Language Processing (NLP) tasks extensively make use of text embeddings. Text embeddings encode semantic information contained in text by acting as vector representations of natural language. Activities such as information retrieval, question answering, semantic textual similarity, bitext mining, and item recommendation use these… Read More »Microsoft Researchers Introduce an Innovative Artificial Intelligence Method for High-Quality Text Embeddings Using Synthetic Data. introduce a novel and simple method for obtaining high-quality text embeddings using only synthetic data  Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Image restoration is a complex challenge that has garnered significant attention from researchers. Its primary objective is to create visually appealing and natural images while maintaining the perceptual quality of the degraded input. In cases where there is no information available concerning the subject… Read More »Researchers from UCLA and Snap Introduce Dual-Pivot Tuning: A Groundbreaking AI Approach for Personalized Facial Image Restoration Sana Hassan Artificial Intelligence Category – MarkTechPost

​ A promising new development in artificial intelligence called MobileVLM, designed to maximize the potential of mobile devices, has emerged. This cutting-edge multimodal vision language model (MMVLM) represents a major advancement in incorporating AI into common technology since it is built to function effectively in… Read More »Meet MobileVLM: A Competent Multimodal Vision Language Model (MMVLM) Targeted to Run on Mobile Devices Adnan Hassan Artificial Intelligence Category – MarkTechPost

​BigML for Education Machine Learning is rapidly becoming a key piece in shaping tomorrow’s leaders. Just as spreadsheets or word Continue reading  BigML for Education Machine Learning is rapidly becoming a key piece in shaping tomorrow’s leaders. Just as spreadsheets or wordContinue reading  Read More Certifications, Education,… Read More »Machine Learning in the Classroom: Building Future Leaders mariajesusbigml The Official Blog of BigML.com

​ AI’s extensive integration across various fields has prompted concerns about the necessity for more transparency in how these AI systems are trained and the data they rely on. This lack of clarity has resulted in AI models producing inaccurate, biased, or unreliable outcomes, particularly… Read More »Enhancing Accountability and Trust: Meet the ‘AI Foundation Model Transparency Act’ Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have proven remarkably effective in numerous jobs. To fully realize the potential of the models, supervised fine-tuning (SFT) is necessary to match them with human instructions. A simple option when the variety of tasks increases or when improved performance on… Read More »A New AI Research Introduces LoRAMoE: A Plugin Version of Mixture of Experts (Moe) for Maintaining World Knowledge in Language Model Alignment Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost