​[[{“value”:” Named Entity Recognition (NER) is vital in natural language processing, with applications spanning medical coding, financial analysis, and legal document parsing. Custom models are typically created using transformer encoders pre-trained on self-supervised tasks like masked language modeling (MLM). However, recent years have seen the… Read More »NuMind Releases Three SOTA NER Models that Outperform Similar-Sized Foundation Models in the Few-shot Regime and Competing with Much Larger LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The primary goal of AI is to create interactive systems capable of solving diverse problems, including those in medical AI aimed at improving patient outcomes. Large language models (LLMs)  have demonstrated significant problem-solving abilities, surpassing human scores on exams like the USMLE. While LLMs… Read More »AgentClinic: Simulating Clinical Environments for Assessing Language Models in Healthcare Aswin Ak Artificial Intelligence Category – MarkTechPost

​ WhatsApp has billions of users worldwide. It has emerged as a critical communication platform where brands must establish a strong presence. 39% of people prefer to use the app as a customer service channel. This is where the WhatsApp chatbot for eCommerce enters the… Read More »WhatsApp Chatbot for eCommerce: How It Is Transforming Customer Experiences Master Of Code Global Chatbots Life – Medium

​[[{“value”:” Large language models (LLMs), including GPT-4, LLaMA, and PaLM are pushing the boundaries of artificial intelligence. The inference latency of LLMs plays an important role because of LLMs integration in various applications, ensuring a positive user experience and high service quality. However, the LLM… Read More »Consistency Large Language Models (CLLMs): A New Family of LLMs Specialized for the Jacobi Decoding Method for Latency Reduction Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural language processing (NLP) has advanced significantly thanks to neural networks, with transformer models setting the standard. These models have performed remarkably well across a range of criteria. However, they pose serious problems because of their high memory requirements and high computational expense, particularly… Read More »This AI Paper by Toyota Research Institute Introduces SUPRA: Enhancing Transformer Efficiency with Recurrent Neural Networks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The evaluation of artificial intelligence models, particularly large language models (LLMs), is a rapidly evolving research field. Researchers are focused on developing more rigorous benchmarks to assess the capabilities of these models across a wide range of complex tasks. This field is essential for… Read More »TIGER-Lab Introduces MMLU-Pro Dataset for Comprehensive Benchmarking of Large Language Models’ Capabilities and Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Feedback is crucial for student success, especially in large computing classes facing increasing demand. Automated tools, incorporating analysis techniques and testing frameworks, are gaining popularity but often need more helpful suggestions. Recent advancements in large language models (LLMs) show promise in offering rapid, human-like… Read More »Unveiling the Potential of Large Language Models: Enhancing Feedback Generation in Computing Education Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT 3.5 and GPT 4 have recently gained a lot of attention in the Artificial Intelligence (AI) community. These models are made to process enormous volumes of data, identify patterns, and produce language that resembles that of a human… Read More »This AI Research from Stanford and UC Berkeley Discusses How ChatGPT’s Behavior is Changing Over Time Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recently, there’s been a surge in the adoption of Integrated Speech and Large Language Models (SLMs), which can understand spoken commands and generate relevant text responses. However, concerns linger regarding their safety and robustness. LLMs, with their extensive capabilities, raise the need to address… Read More »Guarding Integrated Speech and Large Language Models: Assessing Safety and Mitigating Adversarial Threats Sana Hassan Artificial Intelligence Category – MarkTechPost