​[[{“value”:” With the rise of language models, there has been an enormous focus on improving the learning of  LMs to accelerate the learning speed and achieve a certain model performance with as few training steps as possible. This emphasis aids humans in understanding the boundaries… Read More »Researchers from Tsinghua University and Microsoft AI Unveil a Breakthrough in Language Model Training: The Path to Optimal Learning Efficiency Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in understanding and generating human-like text. Scaled from millions to billions of parameters, these models represent a leap forward in artificial intelligence research, offering profound insights and applications in various… Read More »Redefining Evaluation: Towards Generation-Based Metrics for Assessing Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing needed for transformer self-attention poses certain limitations. Recent research has presented a viable method for expanding context windows in transformers… Read More »This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in vision-language models (VLMs) have led to impressive AI assistants capable of understanding and responding to both text and images. However, these models still have limitations that researchers are working to address. Two of the key challenges are: Limited Task Diversity: Many… Read More »Unlocking the Full Potential of Vision-Language Models: Introducing VISION-FLAN for Superior Visual Instruction Tuning and Diverse Task Mastery Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where the world is increasingly interconnected, the demand for accurate and efficient translation across multiple languages has never been higher. While effective, earlier translation methods often need to catch up regarding scalability and versatility, leading researchers to explore more dynamic solutions.… Read More »Meet TOWER: An Open Multilingual Large Language Model for Translation-Related Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” We cannot deny the significant strides made in natural language processing (NLP) through large language models (LLMs). Still, these models often need to catch up when dealing with the complexities of structured information, highlighting a notable gap in their capabilities. The crux of the… Read More »Advancing Large Language Models for Structured Knowledge Grounding with StructLM: Model Based on CodeLlama Architecture Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The evolution of large language models (LLMs) marks a revolutionary stride towards simulating human-like understanding and generating natural language. These models, through their capacity to process and analyze vast datasets, have significantly influenced various sectors, including but not limited to automated customer service, language… Read More »Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s rapidly evolving era of artificial intelligence, there’s a concern surrounding the potential risks tied to generative models. These models, known as Large Language Models (LLMs), can sometimes produce misleading, biased, or harmful content. As security professionals and machine learning engineers grapple with… Read More »Meet PyRIT: A Python Risk Identification Tool for Generative AI to Empower Machine Learning Engineers Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in AI have significantly impacted the field of conversational AI, particularly in the development of chatbots and digital assistants. These systems aim to mimic human-like conversations, providing users with more natural and engaging interactions. As these technologies evolve, one area of increasing… Read More »Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​In accordance with the principle of “data minimization,” many internet companies are opting to record less data. However, this is often at odds with A/B testing efficacy. For experiments with units with multiple observations, one popular data-minimizing technique is to aggregate data for each unit.… Read More »Privacy-Preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials Apple Machine Learning Research