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​[[{“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

​[[{“value”:” In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks, and ensuring quality. But despite its promise, efficient AI-driven code generation remains elusive. Many models struggle to deliver quick responses, support a wide range… Read More »Mistral AI Unveils Codestral 25.01: A New SOTA Lightweight and fast Coding AI Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Knowledge Retrieval systems have been prevalent for decades in many industries, such as healthcare, education, research, finance, etc. Their modern-day usage has integrated large language models(LLMs) that have increased their contextual capabilities, providing accurate and relevant answers to user queries. However, to better rely… Read More »This AI Research Developed a Question-Answering System based on Retrieval-Augmented Generation (RAG) Using Chinese Wikipedia and Lawbank as Retrieval Sources Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancements in artificial intelligence have opened new possibilities, but the associated costs often limit who can benefit from these technologies. Large-scale models like GPT-4 and OpenAI’s o1 have demonstrated impressive reasoning and language capabilities, but their development and training remain financially and… Read More »UC Berkeley Researchers Released Sky-T1-32B-Preview: An Open-Source Reasoning LLM Trained for Under $450 Surpasses OpenAI-o1 on Benchmarks like Math500, AIME, and Livebench Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models often require large-scale computational resources to execute inference and train the model efficiently. To reduce this, many researchers have devised ways to optimize the… Read More »Apple Researchers Introduce Instruction-Following Pruning (IFPruning): A Dynamic AI Approach to Efficient and Scalable LLM Optimization Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has made significant strides in various fields, including healthcare, finance, and education. However, its adoption is not without challenges. Concerns about data privacy, biases in algorithms, and potential job displacement have raised valid questions about its societal impact. Additionally, the “black… Read More »What is Artificial Intelligence (AI)? Sana Hassan Artificial Intelligence Category – MarkTechPost