​[[{“value”:” Medical abstractive summarization faces challenges in balancing faithfulness and informativeness, often compromising one for the other. While recent techniques like in-context learning (ICL) and fine-tuning have enhanced summarization, they frequently overlook key aspects such as model reasoning and self-improvement. The lack of a unified… Read More »uMedSum: A Novel AI Framework for Accurate and Informative Medical Summarization Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The proliferation of large language models (LLMs) in enterprise IT environments presents new challenges and opportunities in security, responsible artificial intelligence (AI), privacy, and prompt engineering. The risks associated with LLM use, such as biased outputs, privacy breaches, and security vulnerabilities, must be mitigated.… Read More »Secure RAG applications using prompt engineering on Amazon Bedrock Andrei Ivanovic AWS Machine Learning Blog

​[[{“value”:” Amazon Titan Text Premier, the latest addition to the Amazon Titan family of large language models (LLMs), is now generally available in Amazon Bedrock. Amazon Titan Text Premier is an advanced, high performance, and cost-effective LLM engineered to deliver superior performance for enterprise-grade text… Read More »Get the most from Amazon Titan Text Premier Anupam Dewan AWS Machine Learning Blog

​[[{“value”:” In today’s world, effective communication is essential for fostering inclusivity and breaking down barriers. However, for individuals who rely on visual communication methods like American Sign Language (ASL), traditional communication tools often fall short. That’s where GenASL comes in. GenASL is a generative artificial… Read More »GenASL: Generative AI-powered American Sign Language avatars Alak Eswaradass AWS Machine Learning Blog

​[[{“value”:” LLMs are increasingly used in healthcare for tasks like question answering and document summarization, performing on par with domain experts. However, their effectiveness in traditional biomedical tasks, such as structured information extraction, remains to be seen. While LLMs have successfully generated free-text outputs, current… Read More »Benchmarking Large Language Models in Biomedical Classification and Named Entity Recognition: Evaluating the Impact of Prompting Techniques and Domain Knowledge Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of video generation has seen remarkable progress with the advent of diffusion transformer (DiT) models, which have demonstrated superior quality compared to traditional convolutional neural network approaches. However, this improved quality comes at a significant cost in terms of computational resources and… Read More »Pyramid Attention Broadcast: The Breakthrough Making Real-Time AI Videos Possible Shreya Maji Artificial Intelligence Category – MarkTechPost

​ Chatbots are rapidly growing in popularity across a spectrum of sectors thanks to their convenience in handling basic customer service needs, such as answering questions. In fact, approximately 67% of consumers have utilized chatbots for quick interactions, with 86% reporting positive experiences​ using them. However,… Read More »Ensuring Compliance in Chatbot Deployment for Regulated Industries Devashish Datt Mamgain Chatbots Life – Medium

​[[{“value”:” Artificial intelligence (AI) planning involves creating a sequence of actions to achieve a specific goal in the development of autonomous systems that perform complex tasks, such as robotics and logistics. Furthermore, large language models (LLMs) have shown great promise in several areas focused on… Read More »AutoToS: An Automated Feedback System for Generating Sound and Complete Search Components in AI Planning Nikhil Artificial Intelligence Category – MarkTechPost