zetabyte

​[[{“value”:” The accelerating growth of voice interactions in the digital space has created increasingly high user expectations for effortless, natural-sounding audio experiences. Conventional speech synthesis and transcription technologies are usually beset by latency, unnaturalness, and insufficient real-time processing, making them unsuitable for realistic, user-centric applications.… Read More »OpenAI Introduced Advanced Audio Models ‘gpt-4o-mini-tts’, ‘gpt-4o-transcribe’, and ‘gpt-4o-mini-transcribe’: Enhancing Real-Time Speech Synthesis and Transcription Capabilities for Developers Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this tutorial, we explore an innovative and practical application of IBM’s open-source ResNet-50 deep learning model, showcasing its capability to classify satellite imagery for disaster management rapidly. Leveraging pretrained convolutional neural networks (CNNs), this approach empowers users to swiftly analyze satellite images to… Read More »Code Implementation of a Rapid Disaster Assessment Tool Using IBM’s Open-Source ResNet-50 Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ​Artificial intelligence has made significant strides in recent years, yet integrating real-time speech interaction with visual content remains a complex challenge. Traditional systems often rely on separate components for voice activity detection, speech recognition, textual dialogue, and text-to-speech synthesis. This segmented approach can introduce… Read More »Kyutai Releases MoshiVis: The First Open-Source Real-Time Speech Model that can Talk About Images Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ​The rapid advancement of artificial intelligence (AI) has led to the development of complex models capable of understanding and generating human-like text. Deploying these large language models (LLMs) in real-world applications presents significant challenges, particularly in optimizing performance and managing computational resources efficiently.​ Challenges… Read More »NVIDIA AI Open Sources Dynamo: An Open-Source Inference Library for Accelerating and Scaling AI Reasoning Models in AI Factories Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today’s organizations face a critical challenge with the fragmentation of vital information across multiple environments. As businesses increasingly rely on diverse project management and IT service management (ITSM) tools such as ServiceNow, Atlassian Jira and Confluence, employees find themselves navigating a complex web of… Read More »Build a generative AI enabled virtual IT troubleshooting assistant using Amazon Q Business Jasmine Rasheed Syed AWS Machine Learning Blog

​Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in recent years as their application to a wide variety of problem domains have become increasingly capable, especially those related to text generation. Natural language processing models… Read More »Bias Detection in LLM Outputs: Statistical Approaches Cornellius Yudha Wijaya MachineLearningMastery.com

​[[{“value”:” Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. However,… Read More »Process formulas and charts with Anthropic’s Claude on Amazon Bedrock Erik Cordsen AWS Machine Learning Blog

​[[{“value”:” IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential… Read More »Automate IT operations with Amazon Bedrock Agents Upendra V AWS Machine Learning Blog

​[[{“value”:” Semantic search goes beyond traditional keyword matching by understanding the contextual meaning of search queries. Instead of simply matching exact words, semantic search systems capture the intent and contextual definition of the query and return relevant results even when they don’t contain the same… Read More »A Step-by-Step Guide to Building a Semantic Search Engine with Sentence Transformers, FAISS, and all-MiniLM-L6-v2 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have demonstrated strong reasoning and knowledge capabilities, yet they often require external knowledge augmentation when their internal representations lack specific details. One method for incorporating new information is supervised fine-tuning, where models are trained on additional datasets to update their weights. However, this… Read More »KBLAM: Efficient Knowledge Base Augmentation for Large Language Models Without Retrieval Overhead Sana Hassan Artificial Intelligence Category – MarkTechPost