​[[{“value”:” Introduction Traditional depth estimation methods often require metadata, such as camera intrinsics, or involve additional processing steps that limit their applicability in real-world scenarios. These limitations make it challenging to produce accurate depth maps efficiently, especially for diverse applications like augmented reality, virtual reality,… Read More »Apple AI Releases Depth Pro: A Foundation Model for Zero-Shot Metric Monocular Depth Estimation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized natural language processing and artificial intelligence, enabling a variety of downstream tasks. However, most advanced models focus predominantly on English and a limited set of high-resource languages, leaving many European languages underrepresented. This lack of linguistic diversity creates… Read More »EuroLLM Released: A Suite of Open-Weight Multilingual Language Models (EuroLLM-1.7B and EuroLLM-1.7B-Instruct) Capable of Understanding and Generating Text in All Official European Union languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples (ICEs) is critical, especially for functions like math and logic that require multi-step reasoning. Traditional text-based… Read More »GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples (ICE) Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speech and audio processing is crucial in models involving speech data, particularly in handling complex tasks such as speech recognition, text-to-speech synthesis, speaker recognition, and speech enhancement. The key challenge lies in the variability and complexity of speech signals, which are influenced by factors… Read More »SpeechBrain: A PyTorch-based Speech Toolkit Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models have made significant strides in mathematical reasoning, with synthetic data playing a crucial role in their development. However, the field faces significant challenges due to the closed-source nature of the largest math datasets. This lack of transparency raises concerns about data leakage… Read More »NVIDIA AI Releases OpenMathInstruct-2: A Math Instruction Tuning Dataset with 14M Problem-Solution Pairs Generated Using the Llama3.1-405B-Instruct Model Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern machine learning (ML) phenomena such as double descent and benign overfitting have challenged long-standing statistical intuitions, confusing many classically trained statisticians. These phenomena contradict fundamental principles taught in introductory data science courses, especially overfitting and the bias-variance tradeoff. The striking performance of highly… Read More »From Fixed to Random Designs: Unveiling the Hidden Factor Behind Modern Machine Learning ML Phenomena Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“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