​[[{“value”:” Open-source software powers a vast array of technologies we use daily, from web browsers to operating systems, and creates a community of developers to promote innovations. Maintaining open-source projects requires repetitive tasks like bug triage and code review can consume a lot of time.… Read More »Google Announces Project Oscar: A Reference for an AI Agent that Helps with Open Source Project Maintenance Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made significant strides in artificial intelligence, but their ability to process complex structured data, particularly graphs, remains challenging. In our interconnected world, a substantial portion of real-world data inherently possesses a graph structure, including the Web, e-commerce systems, and… Read More »G-Retriever: Advancing Real-World Graph Question Answering with RAG and LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are central to advancements in artificial intelligence, focusing on enhancing the models’ ability to follow detailed instructions. This area of research encompasses methods to improve the quality and complexity of datasets used for training LLMs, ultimately leading to more sophisticated… Read More »Microsoft Researchers Propose Auto Evol-Instruct: An End-to-End AI Framework that Evolves Instruction Datasets Using Large Language Models without Any Human Effort Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Spatiotemporal prediction is a critical area of research in computer vision and artificial intelligence. It leverages historical data to predict future events. This technology has significant implications across various fields, such as meteorology, robotics, and autonomous vehicles. It aims to develop accurate models to… Read More »PredBench: A Comprehensive AI Benchmark for Evaluating 12 Spatio-Temporal Prediction Methods Across 15 Diverse Datasets with Multi-Dimensional Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) such as GPT-3 and Llama-2 have made significant strides in understanding and generating human language. These models boast billions of parameters, allowing them to perform complex tasks accurately. However, the substantial computational resources required for training and deploying these models… Read More »NVIDIA Researchers Introduce Flextron: A Network Architecture and Post-Training Model Optimization Framework Supporting Flexible AI Model Deployment Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard… Read More »How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket Federica Marini AWS Machine Learning Blog

​[[{“value”:” In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by converting Mel spectrograms into high-fidelity waveforms. This team has thoroughly examined the main enhancements and ideas… Read More »Nvidia AI Releases BigVGAN v2: A State-of-the-Art Neural Vocoder Transforming Audio Synthesis Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a… Read More »Amazon SageMaker unveils the Cohere Command R fine-tuning model Shashi Raina AWS Machine Learning Blog

​[[{“value”:” As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time… Read More »Derive meaningful and actionable operational insights from AWS Using Amazon Q Business Chitresh Saxena AWS Machine Learning Blog