​[[{“value”:” Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. RNNs are designed to handle sequences of varying lengths by maintaining an internal state that captures information across time steps. However,… Read More »Revisiting Recurrent Neural Networks RNNs: Minimal LSTMs and GRUs for Efficient Parallel Training Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the proliferation of information and data in business environments, employees and stakeholders often find themselves searching for information and struggling to get their questions answered quickly and efficiently. This can lead to productivity losses, frustration, and delays in decision-making. A generative AI Slack… Read More »Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra Kruthi Jayasimha Rao AWS Machine Learning Blog

​[[{“value”:” In today’s rapidly evolving landscape, enterprise chatbots are becoming essential tools to enhance employee productivity by providing quick access to organizational knowledge. However, the journey to build effective, scalable, and secure Retrieval-Augmented Generation (RAG) systems is fraught with challenges. NVIDIA’s recent research offers a… Read More »NVIDIA AI Introduces FACTS: A Comprehensive Framework for Enterprise RAG-Based Chatbots Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, and Samsung’s Bixby are prime voice assistant examples (VAs), but the technology itself is no longer limited to megacorporations. Instead, these intelligent systems are increasingly being embraced at the enterprise level. This new wave of adoption is evident… Read More »Voice Assistants: The Profit, Accessibility, and Speed Trifecta for Modern Businesses Master Of Code Global Chatbots Life – Medium

​ In today’s fast-paced development landscape, staying ahead of the curve is crucial. Generative AI programming tools offer developers a powerful way to enhance productivity, streamline workflows, and explore new possibilities. These tools leverage machine learning to automate tasks, suggest code snippets, and even generate… Read More »10 Generative AI Programming Tools For Developers Megha Verma Chatbots Life – Medium

​[[{“value”:” Dense geometry prediction in computer vision involves estimating properties like depth and surface normals for each pixel in an image. Accurate geometry prediction is critical for applications such as robotics, autonomous driving, and augmented reality, but current methods often require extensive training on labeled… Read More »Lotus: A Diffusion-based Visual Foundation Model for Dense Geometry Prediction Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the underlying mechanisms of these abilities, particularly in reinforcement learning (RL), remain poorly understood. Researchers are attempting to unravel how LLMs learn to… Read More »Exploring In-Context Reinforcement Learning in LLMs with Sparse Autoencoders Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video Generation by LLMs is an emerging field with a promising growth trajectory. While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos… Read More »LOONG: A New Autoregressive LLM-based Video Generator That can Generate Minute-Long Videos Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative models based on diffusion processes have shown great promise in transforming noise into data, but they face key challenges in flexibility and efficiency. Existing diffusion models typically rely on fixed data representations (e.g., pixel-basis) and uniform noise schedules, limiting their ability to adapt… Read More »What Happens When Diffusion and Autoregressive Models Merge? This AI Paper Unveils Generation with Unified Diffusion Aswin Ak Artificial Intelligence Category – MarkTechPost