​[[{“value”:” Researchers from Sony AI and KAUST have introduced FedP3 to address the challenge of federated learning (FL) in scenarios where devices possess varying capabilities and data distributions, known as model heterogeneity. FL involves training a global model using data stored locally on each device,… Read More »Researchers from KAUST and Sony AI Propose FedP3: A Machine Learning-based Solution Designed to Tackle both Data and Model Heterogeneities while Prioritizing Privacy Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the digital age, the need to process and understand online content efficiently and accurately is becoming increasingly important, especially for language processing systems. These systems require input in a format that is easy to analyze and understand, but extracting content from web pages… Read More »Jina AI Introduces Reader API that Converts Any URL to an LLM-Friendly Input with a Simple Prefix Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Large Language Model Transparency Tool (LLM-TT) is an open-source interactive toolkit by Meta Research that analyzes Transformer-based language models. This tool delineates the crucial segments of the input-to-output information flow and permits the inspection of individual attention heads and neurons’ contributions. The TransformerLens… Read More »Meta AI Introducing the Language Model Transparency Tool: An Open-Source Interactive Toolkit for Analyzing Transformer-based Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving landscape of artificial intelligence (AI), the quest for large, diverse, and high-quality datasets represents a significant hurdle. Synthetic data has been identified as a pivotal solution to this challenge, promising to bridge the gap caused by data scarcity, privacy issues,… Read More »This paper from Google DeepMind Provides an Overview of Synthetic Data Research, Discussing Its Applications, Challenges, and Future Directions Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the introduction of some brilliant generative Artificial intelligence models, such as ChatGPT, GEMINI, and BARD, the demand for AI-generated content is rising in a number of industries, especially multimedia. Effective text-to-audio, text-to-image, and text-to-video models that can produce high-quality material or prototypes fast… Read More »Tango 2: The New Frontier in Text-to-Audio Synthesis and Its Superior Performance Metrics Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformers have revolutionized deep learning, yet their quadratic attention complexity limits their ability to process infinitely long inputs. Despite their effectiveness, they suffer from drawbacks such as forgetting information beyond the attention window and needing help with long-context processing. Attempts to address this include… Read More »Google AI Proposes TransformerFAM: A Novel Transformer Architecture that Leverages a Feedback Loop to Enable the Neural Network to Attend to Its Latent Representations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are widely used in various industries and are not just limited to basic language tasks. These models are used in sectors like technology, healthcare, finance, and education and can transform stable workflows in these critical sectors. A method called Reinforcement… Read More »This AI Paper Explores the Fundamental Aspects of Reinforcement Learning from Human Feedback (RLHF): Aiming to Clarify its Mechanisms and Limitations Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In asset management, portfolio managers need to closely monitor companies in their investment universe to identify risks and opportunities, and guide investment decisions. Tracking direct events like earnings reports or credit downgrades is straightforward—you can set up alerts to notify managers of news containing… Read More »Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune Xan Huang AWS Machine Learning Blog

​[[{“value”:” Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. Although they are more powerful, training and inference on those models require significant computational resources. Despite the availability of advanced distributed training libraries,… Read More »Open source observability for AWS Inferentia nodes within Amazon EKS clusters Riccardo Freschi AWS Machine Learning Blog