​[[{“value”:” Understanding and improving the factuality of responses generated by large language models (LLMs) is critical in artificial intelligence research. The domain investigates how well these models can adhere to truthfulness when answering open-ended, fact-seeking queries across various topics. Despite their advancements, LLMs often need… Read More »Researchers from Google DeepMind and Stanford Introduce Search-Augmented Factuality Evaluator (SAFE): Enhancing Factuality Evaluation in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, there has been an enormous development in pre-trained large language models (LLMs). These LLMs are trained to predict the next token given the previous tokens and provide a suitable prompt. They can solve various natural language processing (NLP) tasks. However, the… Read More »This Paper Reveals Insights from Reproducing OpenAI’s RLHF (Reinforcement Learning from Human Feedback) Work: Implementation and Scaling Explored Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent times, the Mixture of Experts (MoE) architecture has become significantly popular with the release of the Mixtral model. Diving deeper into the study of MoE models, a team of researchers from the Qwen team, Alibaba Cloud, has introduced Qwen1.5, which is the… Read More »Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model with only 2.7B Activated Parameters yet Matching the Performance of State-of-the-Art 7B models like Mistral 7B Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In technological advancement, developing Neural Network Language Models (NNLMs) for on-device Virtual Assistants (VAs) represents a significant leap forward. Traditionally, these models have been tailored to specific languages, regions, and even devices, posing considerable challenges in terms of scalability and maintenance.  Researchers from AppTek… Read More »This AI Research from Apple Combines Regional Variants of English to Build a ‘World English’ Neural Network Language Model for On-Device Virtual Assistants Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Content is king. We all know that, right? Well, in today’s world, visual content has become king, with images and videos serving as not only useful but essential tools for businesses aiming to engage, inform, and captivate their audience. Yet, managing massive volumes of… Read More »How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting… Read More »Generative AI to quantify uncertainty in weather forecasting Google AI Google AI Blog

​[[{“value”:” Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or… Read More »Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center Grazia Russo Lassner AWS Machine Learning Blog

​[[{“value”:” In large language models (LLMs), the landscape of pretraining data is a rich blend of diverse sources. It spans from common English to less common languages, including casual conversations and scholarly texts, and even extends to modalities like images and speeches. Within this mix,… Read More »How to Precisely Predict Your AI Model’s Performance Before Training Begins? This AI Paper from China Proposes Data Mixing Laws Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Lehigh University and Microsoft introduced a new multi-agent framework, Mora, to address the challenge of advancing video generation technology. While in recent years, there has been significant progress in image and text synthesis, video generation remains relatively unexplored. Existing models have struggled… Read More »Mora: A New Multi-Agent Framework that Incorporates Several Advanced Visual AI Agents to Replicate Generalist Video Generation Demonstrated by Sora Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” From the transformative potential of Multimodal AI, which goes beyond traditional single-mode data processing to encompass multiple input types like text, images, and sound, to the emergence of Quantum AI, the trends shaping the future of AI are both exciting and daunting.  “The interfaces… Read More »Top Ten Artificial Intelligence (AI) Trends to Watch in 2024 Adnan Hassan and Asif Razzaq Artificial Intelligence Category – MarkTechPost