​[[{“value”:” In recent research, a team of researchers from Google Research has introduced FAX, an advanced software library built on top of JavaScript to improve calculations utilized in federated learning (FL). It has been specifically developed to facilitate large-scale distributed and federated computations across diverse… Read More »Google AI Proposes FAX: A JAX-Based Python Library for Defining Scalable Distributed and Federated Computations in the Data Center Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In artificial intelligence, a niche that stands out is the development of language agents capable of navigating the intricate tapestry of human social dynamics. Unlike their predecessors, these advanced agents are tasked with understanding subtleties such as cultural nuances, emotional expressions, and unspoken social… Read More »Can Social Intelligence in Language Agents Be Enhanced Through Interaction and Imitation? This Paper Introduces SOTOPIA-π, a Novel Approach to Cultivating AI Social Skills Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning (ML) workflows, essential for powering data-driven innovations, have grown in complexity and scale, challenging previous optimization methods. These workflows, integral to various organizations, demand extensive resources and time, escalating operational costs as they expand to accommodate diverse data infrastructures. Orchestrating these workflows… Read More »COULER: An AI System Designed for Unified Machine Learning Workflow Optimization in the Cloud Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” VLMs are potent tools for grasping visual and textual data, promising advancements in tasks like image captioning and visual question answering. Limited data availability hampers their performance. Recent strides show that pre-training VLMs on larger image-text datasets improves downstream tasks. Yet, creating such datasets… Read More »Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings by Researchers from Google DeepMind Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The pursuit of artificial intelligence that can navigate and comprehend the intricacies of three-dimensional environments with the ease and adaptability of humans has long been a frontier in technology. At the heart of this exploration is the ambition to create AI agents that not… Read More »Google DeepMind Introduces SIMA: The First Generalist Artificial Intelligence AI Agent to Follow Natural-Language Instructions in a Broad Range of 3D Virtual Environments and Video Games Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning is witnessing rapid advancements, especially in the domain of large language models (LLMs). These models, which underpin various applications from language translation to content creation, require regular updates with new data to stay relevant and effective. Updating these models meant re-training them… Read More »Can Continual Learning Strategies Outperform Traditional Re-Training in Large Language Models? This AI Research Unveils Efficient Machine Learning Approaches Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The advent of large language models (LLMs) has sparked a revolution in natural language processing, captivating the world with their superior capabilities stemming from the massive number of parameters they utilize. These LLMs, epitomized by the transformative power of dense transformer models, have not… Read More »Zhejiang University Researchers Propose Fuyou: A Low-Cost Deep Learning Training Framework that Enables Efficient 100B Huge Model Fine-Tuning on a Low-End Server with a Low-End GPU and Limited CPU Memory Capacity Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In language models, there’s a sophisticated technique known as Retrieval Augmented Generation (RAG). This approach enhances the language model’s understanding by fetching relevant information from external data sources. However, a significant challenge arises when developers try to assess how well their RAG systems perform.… Read More »Meet Ragas: A Python-based Machine Learning Framework that Helps to Evaluate Your Retrieval Augmented Generation (RAG) Pipelines Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The search to replicate human motion digitally has long captivated researchers, spanning applications from video games and animations to robotics. This pursuit demands an intricate understanding of the nuances that define human movement, challenging scientists to devise models that can mimic and predict complex… Read More »Meet Motion Mamba: A Novel Machine Learning Framework Designed for Efficient and Extended Sequence Motion Generation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. This traditional approach poses several challenges: it heavily depends on manual processes, struggles to efficiently… Read More »Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI Moumita Dutta AWS Machine Learning Blog