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​[[{“value”:” Mathematical reasoning has long been a significant challenge for Large Language Models (LLMs). Errors in intermediate reasoning steps can undermine both the accuracy and reliability of final outputs, which is particularly problematic for applications requiring precision, such as education and scientific computation. Traditional evaluation… Read More »Alibaba Qwen Team just Released ‘Lessons of Developing Process Reward Models in Mathematical Reasoning’ along with a State-of-the-Art 7B and 72B PRMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is more than one, this process becomes too complex because it includes variations of patterns across categories in the real world. With such wide variations… Read More »TimeDP: A Multi-Domain Time Series Diffusion Model with Domain Prompts Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs, such as GPT-3.5 and GPT-4, have shown exceptional capabilities in language generation, comprehension, and translation tasks. Despite these advancements, their performance is inherently constrained by the availability of training data, much of which has already been utilized. Recent research explores self-improvement by generating… Read More »Enhancing Language Model Performance and Diversity Through Multiagent Fine-Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s digital age, we are surrounded by enormous amounts of data, from social media interactions to e-commerce transactions and medical records. Making sense of this data to derive meaningful insights is a significant challenge. Traditional programming methods often fall short when dealing with… Read More »What is Machine Learning (ML)? Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has made significant strides in recent years, but challenges remAIn in balancing computational efficiency and versatility. State-of-the-art multimodal models, such as GPT-4, often require substantial computational resources, limiting their use to high-end servers. This creates accessibility barriers and leaves edge devices like… Read More »OpenBMB Just Released MiniCPM-o 2.6: A New 8B Parameters, Any-to-Any Multimodal Model that can Understand Vision, Speech, and Language and Runs on Edge Devices Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took… Read More »Healthcare Leaders, NVIDIA CEO Share AI Innovation Across the Industry Isha Salian – Archives Page 1 | NVIDIA Blog

​[[{“value”:” With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to… Read More »Implement RAG while meeting data residency requirements using AWS hybrid and edge services Robert Belson AWS Machine Learning Blog

​[[{“value”:” Video-based technologies have become essential tools for information retrieval and understanding complex concepts. Videos combine visual, temporal, and contextual data, providing a multimodal representation that surpasses static images and text. With the increasing popularity of video-sharing platforms and the vast repository of educational and… Read More »Meet VideoRAG: A Retrieval-Augmented Generation (RAG) Framework Leveraging Video Content for Enhanced Query Responses Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The… Read More »Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock Raphael Shu AWS Machine Learning Blog

​[[{“value”:” LLMs excel in code generation but struggle with complex programming tasks requiring deep algorithmic reasoning and intricate logic. Traditional outcome supervision approaches, which guide final output quality models, are limited in addressing these challenges. Process supervision using Process Reward Models (PRMs) has shown promise… Read More »Outcome-Refining Process Supervision: Advancing Code Generation with Structured Reasoning and Execution Feedback Sana Hassan Artificial Intelligence Category – MarkTechPost